iVOD / 16693

Field Value
IVOD_ID 16693
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/16693
日期 2025-05-21
會議資料.會議代碼 委員會-11-3-23-12
會議資料.會議代碼:str 第11屆第3會期交通委員會第12次全體委員會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 12
會議資料.種類 委員會
會議資料.委員會代碼[0] 23
會議資料.委員會代碼:str[0] 交通委員會
會議資料.標題 第11屆第3會期交通委員會第12次全體委員會議
影片種類 Full
開始時間 2025-05-21T08:30:15+08:00
結束時間 2025-05-21T13:55:00+08:00
影片長度 05:24:45
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/f826c2e4afc302ddc04fde1d52825d89ad9f551ce5fa921fa12e9ca99aa835c049ec2ed80b9b5d325ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2025-05-21T09:00:00+08:00
會議名稱 立法院第11屆第3會期交通委員會第12次全體委員會議(事由:一、審查及處理114年度中央政府總預算關於交通部主管預算凍結案計48案。 二、審查及處理114年度中央政府總預算關於數位發展部主管預算凍結案計20案。 三、處理114年度中央政府總預算關於行政院公共工程委員會預算凍結案計8案。 【5月21日及22日二天一次會】)
委員名稱 完整會議
委員發言時間 08:30:15 - 13:55:00
transcript.pyannote[0].speaker SPEAKER_13
transcript.pyannote[0].start 1995.39846875
transcript.pyannote[0].end 1998.73971875
transcript.pyannote[1].speaker SPEAKER_13
transcript.pyannote[1].start 1999.14471875
transcript.pyannote[1].end 2002.16534375
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 2004.62909375
transcript.pyannote[2].end 2017.53846875
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 2018.39909375
transcript.pyannote[3].end 2023.54596875
transcript.pyannote[4].speaker SPEAKER_24
transcript.pyannote[4].start 2022.11159375
transcript.pyannote[4].end 2022.58409375
transcript.pyannote[5].speaker SPEAKER_24
transcript.pyannote[5].start 2022.60096875
transcript.pyannote[5].end 2022.63471875
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 2023.73159375
transcript.pyannote[6].end 2029.53659375
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 2027.69721875
transcript.pyannote[7].end 2027.93346875
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 2029.85721875
transcript.pyannote[8].end 2035.05471875
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 2035.24034375
transcript.pyannote[9].end 2040.55596875
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 2040.70784375
transcript.pyannote[10].end 2045.60159375
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 2045.75346875
transcript.pyannote[11].end 2055.16971875
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 2060.85659375
transcript.pyannote[12].end 2068.80471875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 2069.05784375
transcript.pyannote[13].end 2073.91784375
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 2074.10346875
transcript.pyannote[14].end 2082.33846875
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 2082.57471875
transcript.pyannote[15].end 2092.80096875
transcript.pyannote[16].speaker SPEAKER_13
transcript.pyannote[16].start 2096.09159375
transcript.pyannote[16].end 2099.63534375
transcript.pyannote[17].speaker SPEAKER_24
transcript.pyannote[17].start 2108.78159375
transcript.pyannote[17].end 2109.45659375
transcript.pyannote[18].speaker SPEAKER_24
transcript.pyannote[18].start 2109.54096875
transcript.pyannote[18].end 2109.64221875
transcript.pyannote[19].speaker SPEAKER_13
transcript.pyannote[19].start 2109.65909375
transcript.pyannote[19].end 2112.73034375
transcript.pyannote[20].speaker SPEAKER_13
transcript.pyannote[20].start 2116.69596875
transcript.pyannote[20].end 2117.30346875
transcript.pyannote[21].speaker SPEAKER_13
transcript.pyannote[21].start 2118.61971875
transcript.pyannote[21].end 2120.17221875
transcript.pyannote[22].speaker SPEAKER_13
transcript.pyannote[22].start 2120.61096875
transcript.pyannote[22].end 2123.44596875
transcript.pyannote[23].speaker SPEAKER_13
transcript.pyannote[23].start 2126.36534375
transcript.pyannote[23].end 2128.44096875
transcript.pyannote[24].speaker SPEAKER_13
transcript.pyannote[24].start 2131.93409375
transcript.pyannote[24].end 2134.80284375
transcript.pyannote[25].speaker SPEAKER_13
transcript.pyannote[25].start 2137.95846875
transcript.pyannote[25].end 2139.54471875
transcript.pyannote[26].speaker SPEAKER_13
transcript.pyannote[26].start 2140.18596875
transcript.pyannote[26].end 2141.85659375
transcript.pyannote[27].speaker SPEAKER_13
transcript.pyannote[27].start 2144.57346875
transcript.pyannote[27].end 2146.51409375
transcript.pyannote[28].speaker SPEAKER_13
transcript.pyannote[28].start 2149.50096875
transcript.pyannote[28].end 2150.22659375
transcript.pyannote[29].speaker SPEAKER_13
transcript.pyannote[29].start 2150.71596875
transcript.pyannote[29].end 2151.98159375
transcript.pyannote[30].speaker SPEAKER_13
transcript.pyannote[30].start 2154.90096875
transcript.pyannote[30].end 2157.02721875
transcript.pyannote[31].speaker SPEAKER_13
transcript.pyannote[31].start 2159.37284375
transcript.pyannote[31].end 2161.22909375
transcript.pyannote[32].speaker SPEAKER_13
transcript.pyannote[32].start 2163.60846875
transcript.pyannote[32].end 2165.39721875
transcript.pyannote[33].speaker SPEAKER_13
transcript.pyannote[33].start 2167.94534375
transcript.pyannote[33].end 2170.12221875
transcript.pyannote[34].speaker SPEAKER_13
transcript.pyannote[34].start 2172.88971875
transcript.pyannote[34].end 2175.08346875
transcript.pyannote[35].speaker SPEAKER_13
transcript.pyannote[35].start 2178.05346875
transcript.pyannote[35].end 2178.84659375
transcript.pyannote[36].speaker SPEAKER_13
transcript.pyannote[36].start 2179.43721875
transcript.pyannote[36].end 2180.63534375
transcript.pyannote[37].speaker SPEAKER_13
transcript.pyannote[37].start 2183.67284375
transcript.pyannote[37].end 2184.36471875
transcript.pyannote[38].speaker SPEAKER_13
transcript.pyannote[38].start 2184.88784375
transcript.pyannote[38].end 2186.01846875
transcript.pyannote[39].speaker SPEAKER_13
transcript.pyannote[39].start 2186.11971875
transcript.pyannote[39].end 2188.24596875
transcript.pyannote[40].speaker SPEAKER_13
transcript.pyannote[40].start 2190.74346875
transcript.pyannote[40].end 2192.24534375
transcript.pyannote[41].speaker SPEAKER_13
transcript.pyannote[41].start 2193.07221875
transcript.pyannote[41].end 2195.78909375
transcript.pyannote[42].speaker SPEAKER_13
transcript.pyannote[42].start 2197.61159375
transcript.pyannote[42].end 2199.50159375
transcript.pyannote[43].speaker SPEAKER_13
transcript.pyannote[43].start 2200.17659375
transcript.pyannote[43].end 2200.53096875
transcript.pyannote[44].speaker SPEAKER_13
transcript.pyannote[44].start 2201.83034375
transcript.pyannote[44].end 2203.65284375
transcript.pyannote[45].speaker SPEAKER_13
transcript.pyannote[45].start 2204.00721875
transcript.pyannote[45].end 2205.13784375
transcript.pyannote[46].speaker SPEAKER_13
transcript.pyannote[46].start 2208.36096875
transcript.pyannote[46].end 2210.65596875
transcript.pyannote[47].speaker SPEAKER_13
transcript.pyannote[47].start 2213.47409375
transcript.pyannote[47].end 2215.17846875
transcript.pyannote[48].speaker SPEAKER_13
transcript.pyannote[48].start 2215.92096875
transcript.pyannote[48].end 2215.93784375
transcript.pyannote[49].speaker SPEAKER_13
transcript.pyannote[49].start 2216.14034375
transcript.pyannote[49].end 2217.43971875
transcript.pyannote[50].speaker SPEAKER_13
transcript.pyannote[50].start 2220.98346875
transcript.pyannote[50].end 2222.33346875
transcript.pyannote[51].speaker SPEAKER_13
transcript.pyannote[51].start 2225.48909375
transcript.pyannote[51].end 2227.19346875
transcript.pyannote[52].speaker SPEAKER_13
transcript.pyannote[52].start 2230.21409375
transcript.pyannote[52].end 2234.63534375
transcript.pyannote[53].speaker SPEAKER_13
transcript.pyannote[53].start 2237.52096875
transcript.pyannote[53].end 2238.41534375
transcript.pyannote[54].speaker SPEAKER_13
transcript.pyannote[54].start 2239.57971875
transcript.pyannote[54].end 2243.15721875
transcript.pyannote[55].speaker SPEAKER_13
transcript.pyannote[55].start 2243.91659375
transcript.pyannote[55].end 2245.95846875
transcript.pyannote[56].speaker SPEAKER_13
transcript.pyannote[56].start 2248.86096875
transcript.pyannote[56].end 2252.79284375
transcript.pyannote[57].speaker SPEAKER_13
transcript.pyannote[57].start 2253.63659375
transcript.pyannote[57].end 2256.16784375
transcript.pyannote[58].speaker SPEAKER_13
transcript.pyannote[58].start 2256.74159375
transcript.pyannote[58].end 2263.54221875
transcript.pyannote[59].speaker SPEAKER_07
transcript.pyannote[59].start 2268.55409375
transcript.pyannote[59].end 2269.00971875
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 2275.65846875
transcript.pyannote[60].end 2298.22034375
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 2298.30471875
transcript.pyannote[61].end 2299.48596875
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 2299.63784375
transcript.pyannote[62].end 2306.72534375
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 2306.86034375
transcript.pyannote[63].end 2314.04909375
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 2314.26846875
transcript.pyannote[64].end 2321.76096875
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 2321.92971875
transcript.pyannote[65].end 2322.25034375
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 2322.63846875
transcript.pyannote[66].end 2325.62534375
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 2328.37596875
transcript.pyannote[67].end 2349.58784375
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 2349.89159375
transcript.pyannote[68].end 2350.61721875
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 2350.78596875
transcript.pyannote[69].end 2357.13096875
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 2357.21534375
transcript.pyannote[70].end 2362.49721875
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 2362.91909375
transcript.pyannote[71].end 2389.88534375
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 2390.27346875
transcript.pyannote[72].end 2403.11534375
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 2403.79034375
transcript.pyannote[73].end 2419.77096875
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 2420.98596875
transcript.pyannote[74].end 2431.31346875
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 2431.54971875
transcript.pyannote[75].end 2444.93159375
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 2445.15096875
transcript.pyannote[76].end 2451.04034375
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 2451.63096875
transcript.pyannote[77].end 2466.43034375
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 2468.96159375
transcript.pyannote[78].end 2479.62659375
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 2479.99784375
transcript.pyannote[79].end 2483.35596875
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 2484.18284375
transcript.pyannote[80].end 2486.14034375
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 2486.34284375
transcript.pyannote[81].end 2506.15409375
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 2506.33971875
transcript.pyannote[82].end 2512.73534375
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 2512.98846875
transcript.pyannote[83].end 2519.04659375
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 2519.16471875
transcript.pyannote[84].end 2523.95721875
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 2524.29471875
transcript.pyannote[85].end 2526.28596875
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 2526.53909375
transcript.pyannote[86].end 2529.32346875
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 2529.76221875
transcript.pyannote[87].end 2541.67596875
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 2541.97971875
transcript.pyannote[88].end 2543.14409375
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 2544.10596875
transcript.pyannote[89].end 2546.31659375
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 2546.35034375
transcript.pyannote[90].end 2565.14909375
transcript.pyannote[91].speaker SPEAKER_13
transcript.pyannote[91].start 2567.89971875
transcript.pyannote[91].end 2571.22409375
transcript.pyannote[92].speaker SPEAKER_13
transcript.pyannote[92].start 2572.06784375
transcript.pyannote[92].end 2578.36221875
transcript.pyannote[93].speaker SPEAKER_13
transcript.pyannote[93].start 2578.78409375
transcript.pyannote[93].end 2579.74596875
transcript.pyannote[94].speaker SPEAKER_13
transcript.pyannote[94].start 2579.93159375
transcript.pyannote[94].end 2584.63971875
transcript.pyannote[95].speaker SPEAKER_13
transcript.pyannote[95].start 2588.16659375
transcript.pyannote[95].end 2595.30471875
transcript.pyannote[96].speaker SPEAKER_13
transcript.pyannote[96].start 2595.77721875
transcript.pyannote[96].end 2598.51096875
transcript.pyannote[97].speaker SPEAKER_13
transcript.pyannote[97].start 2598.89909375
transcript.pyannote[97].end 2601.44721875
transcript.pyannote[98].speaker SPEAKER_13
transcript.pyannote[98].start 2601.58221875
transcript.pyannote[98].end 2607.55596875
transcript.pyannote[99].speaker SPEAKER_29
transcript.pyannote[99].start 2617.27596875
transcript.pyannote[99].end 2632.10909375
transcript.pyannote[100].speaker SPEAKER_29
transcript.pyannote[100].start 2632.37909375
transcript.pyannote[100].end 2639.44971875
transcript.pyannote[101].speaker SPEAKER_29
transcript.pyannote[101].start 2639.93909375
transcript.pyannote[101].end 2641.30596875
transcript.pyannote[102].speaker SPEAKER_29
transcript.pyannote[102].start 2641.71096875
transcript.pyannote[102].end 2647.16159375
transcript.pyannote[103].speaker SPEAKER_29
transcript.pyannote[103].start 2647.98846875
transcript.pyannote[103].end 2649.60846875
transcript.pyannote[104].speaker SPEAKER_29
transcript.pyannote[104].start 2650.19909375
transcript.pyannote[104].end 2651.24534375
transcript.pyannote[105].speaker SPEAKER_29
transcript.pyannote[105].start 2651.41409375
transcript.pyannote[105].end 2665.87596875
transcript.pyannote[106].speaker SPEAKER_29
transcript.pyannote[106].start 2666.09534375
transcript.pyannote[106].end 2667.90096875
transcript.pyannote[107].speaker SPEAKER_29
transcript.pyannote[107].start 2668.32284375
transcript.pyannote[107].end 2674.14471875
transcript.pyannote[108].speaker SPEAKER_29
transcript.pyannote[108].start 2674.73534375
transcript.pyannote[108].end 2684.01659375
transcript.pyannote[109].speaker SPEAKER_29
transcript.pyannote[109].start 2684.48909375
transcript.pyannote[109].end 2691.47534375
transcript.pyannote[110].speaker SPEAKER_29
transcript.pyannote[110].start 2691.69471875
transcript.pyannote[110].end 2701.38096875
transcript.pyannote[111].speaker SPEAKER_29
transcript.pyannote[111].start 2701.60034375
transcript.pyannote[111].end 2702.73096875
transcript.pyannote[112].speaker SPEAKER_29
transcript.pyannote[112].start 2703.06846875
transcript.pyannote[112].end 2717.19284375
transcript.pyannote[113].speaker SPEAKER_29
transcript.pyannote[113].start 2717.63159375
transcript.pyannote[113].end 2718.96471875
transcript.pyannote[114].speaker SPEAKER_29
transcript.pyannote[114].start 2719.52159375
transcript.pyannote[114].end 2720.65221875
transcript.pyannote[115].speaker SPEAKER_29
transcript.pyannote[115].start 2720.95596875
transcript.pyannote[115].end 2722.23846875
transcript.pyannote[116].speaker SPEAKER_29
transcript.pyannote[116].start 2722.57596875
transcript.pyannote[116].end 2724.09471875
transcript.pyannote[117].speaker SPEAKER_29
transcript.pyannote[117].start 2724.71909375
transcript.pyannote[117].end 2725.63034375
transcript.pyannote[118].speaker SPEAKER_29
transcript.pyannote[118].start 2726.05221875
transcript.pyannote[118].end 2729.30909375
transcript.pyannote[119].speaker SPEAKER_29
transcript.pyannote[119].start 2729.59596875
transcript.pyannote[119].end 2740.02471875
transcript.pyannote[120].speaker SPEAKER_29
transcript.pyannote[120].start 2740.86846875
transcript.pyannote[120].end 2758.82346875
transcript.pyannote[121].speaker SPEAKER_29
transcript.pyannote[121].start 2759.36346875
transcript.pyannote[121].end 2763.41346875
transcript.pyannote[122].speaker SPEAKER_13
transcript.pyannote[122].start 2769.38721875
transcript.pyannote[122].end 2770.92284375
transcript.pyannote[123].speaker SPEAKER_04
transcript.pyannote[123].start 2773.67346875
transcript.pyannote[123].end 2790.36284375
transcript.pyannote[124].speaker SPEAKER_04
transcript.pyannote[124].start 2790.78471875
transcript.pyannote[124].end 2852.22659375
transcript.pyannote[125].speaker SPEAKER_04
transcript.pyannote[125].start 2852.58096875
transcript.pyannote[125].end 2866.04721875
transcript.pyannote[126].speaker SPEAKER_04
transcript.pyannote[126].start 2866.38471875
transcript.pyannote[126].end 2885.65596875
transcript.pyannote[127].speaker SPEAKER_04
transcript.pyannote[127].start 2886.12846875
transcript.pyannote[127].end 2901.48471875
transcript.pyannote[128].speaker SPEAKER_04
transcript.pyannote[128].start 2901.87284375
transcript.pyannote[128].end 2902.90221875
transcript.pyannote[129].speaker SPEAKER_04
transcript.pyannote[129].start 2903.77971875
transcript.pyannote[129].end 2947.38471875
transcript.pyannote[130].speaker SPEAKER_04
transcript.pyannote[130].start 2947.75596875
transcript.pyannote[130].end 2956.96971875
transcript.pyannote[131].speaker SPEAKER_04
transcript.pyannote[131].start 2957.34096875
transcript.pyannote[131].end 2984.86409375
transcript.pyannote[132].speaker SPEAKER_04
transcript.pyannote[132].start 2985.35346875
transcript.pyannote[132].end 2987.59784375
transcript.pyannote[133].speaker SPEAKER_04
transcript.pyannote[133].start 2988.17159375
transcript.pyannote[133].end 2994.44909375
transcript.pyannote[134].speaker SPEAKER_04
transcript.pyannote[134].start 2995.22534375
transcript.pyannote[134].end 3028.30034375
transcript.pyannote[135].speaker SPEAKER_04
transcript.pyannote[135].start 3028.53659375
transcript.pyannote[135].end 3033.14346875
transcript.pyannote[136].speaker SPEAKER_04
transcript.pyannote[136].start 3033.68346875
transcript.pyannote[136].end 3052.19534375
transcript.pyannote[137].speaker SPEAKER_04
transcript.pyannote[137].start 3052.54971875
transcript.pyannote[137].end 3059.58659375
transcript.pyannote[138].speaker SPEAKER_04
transcript.pyannote[138].start 3060.95346875
transcript.pyannote[138].end 3061.81409375
transcript.pyannote[139].speaker SPEAKER_04
transcript.pyannote[139].start 3061.96596875
transcript.pyannote[139].end 3063.51846875
transcript.pyannote[140].speaker SPEAKER_04
transcript.pyannote[140].start 3064.37909375
transcript.pyannote[140].end 3098.48346875
transcript.pyannote[141].speaker SPEAKER_04
transcript.pyannote[141].start 3098.85471875
transcript.pyannote[141].end 3119.71221875
transcript.pyannote[142].speaker SPEAKER_04
transcript.pyannote[142].start 3119.81346875
transcript.pyannote[142].end 3122.56409375
transcript.pyannote[143].speaker SPEAKER_04
transcript.pyannote[143].start 3123.72846875
transcript.pyannote[143].end 3124.99409375
transcript.pyannote[144].speaker SPEAKER_04
transcript.pyannote[144].start 3125.53409375
transcript.pyannote[144].end 3156.46596875
transcript.pyannote[145].speaker SPEAKER_04
transcript.pyannote[145].start 3156.92159375
transcript.pyannote[145].end 3169.37534375
transcript.pyannote[146].speaker SPEAKER_13
transcript.pyannote[146].start 3174.30284375
transcript.pyannote[146].end 3176.78346875
transcript.pyannote[147].speaker SPEAKER_13
transcript.pyannote[147].start 3177.13784375
transcript.pyannote[147].end 3179.56784375
transcript.pyannote[148].speaker SPEAKER_13
transcript.pyannote[148].start 3180.19221875
transcript.pyannote[148].end 3181.27221875
transcript.pyannote[149].speaker SPEAKER_09
transcript.pyannote[149].start 3184.15784375
transcript.pyannote[149].end 3184.88346875
transcript.pyannote[150].speaker SPEAKER_09
transcript.pyannote[150].start 3185.99721875
transcript.pyannote[150].end 3200.79659375
transcript.pyannote[151].speaker SPEAKER_09
transcript.pyannote[151].start 3200.96534375
transcript.pyannote[151].end 3221.36721875
transcript.pyannote[152].speaker SPEAKER_09
transcript.pyannote[152].start 3221.56971875
transcript.pyannote[152].end 3232.08284375
transcript.pyannote[153].speaker SPEAKER_09
transcript.pyannote[153].start 3232.38659375
transcript.pyannote[153].end 3236.85846875
transcript.pyannote[154].speaker SPEAKER_09
transcript.pyannote[154].start 3236.97659375
transcript.pyannote[154].end 3249.22784375
transcript.pyannote[155].speaker SPEAKER_09
transcript.pyannote[155].start 3249.88596875
transcript.pyannote[155].end 3306.88971875
transcript.pyannote[156].speaker SPEAKER_09
transcript.pyannote[156].start 3308.37471875
transcript.pyannote[156].end 3310.21409375
transcript.pyannote[157].speaker SPEAKER_09
transcript.pyannote[157].start 3310.68659375
transcript.pyannote[157].end 3366.01971875
transcript.pyannote[158].speaker SPEAKER_09
transcript.pyannote[158].start 3366.61034375
transcript.pyannote[158].end 3394.40346875
transcript.pyannote[159].speaker SPEAKER_09
transcript.pyannote[159].start 3395.36534375
transcript.pyannote[159].end 3413.13471875
transcript.pyannote[160].speaker SPEAKER_13
transcript.pyannote[160].start 3417.75846875
transcript.pyannote[160].end 3418.34909375
transcript.pyannote[161].speaker SPEAKER_13
transcript.pyannote[161].start 3419.02409375
transcript.pyannote[161].end 3421.72409375
transcript.pyannote[162].speaker SPEAKER_05
transcript.pyannote[162].start 3429.06471875
transcript.pyannote[162].end 3454.32659375
transcript.pyannote[163].speaker SPEAKER_05
transcript.pyannote[163].start 3454.83284375
transcript.pyannote[163].end 3499.82159375
transcript.pyannote[164].speaker SPEAKER_05
transcript.pyannote[164].start 3500.14221875
transcript.pyannote[164].end 3501.28971875
transcript.pyannote[165].speaker SPEAKER_05
transcript.pyannote[165].start 3501.61034375
transcript.pyannote[165].end 3505.03596875
transcript.pyannote[166].speaker SPEAKER_05
transcript.pyannote[166].start 3505.55909375
transcript.pyannote[166].end 3525.25221875
transcript.pyannote[167].speaker SPEAKER_05
transcript.pyannote[167].start 3525.55596875
transcript.pyannote[167].end 3530.43284375
transcript.pyannote[168].speaker SPEAKER_05
transcript.pyannote[168].start 3530.85471875
transcript.pyannote[168].end 3543.15659375
transcript.pyannote[169].speaker SPEAKER_05
transcript.pyannote[169].start 3543.29159375
transcript.pyannote[169].end 3548.50596875
transcript.pyannote[170].speaker SPEAKER_05
transcript.pyannote[170].start 3549.45096875
transcript.pyannote[170].end 3567.37221875
transcript.pyannote[171].speaker SPEAKER_05
transcript.pyannote[171].start 3567.40596875
transcript.pyannote[171].end 3578.35784375
transcript.pyannote[172].speaker SPEAKER_05
transcript.pyannote[172].start 3578.59409375
transcript.pyannote[172].end 3583.01534375
transcript.pyannote[173].speaker SPEAKER_05
transcript.pyannote[173].start 3583.43721875
transcript.pyannote[173].end 3587.90909375
transcript.pyannote[174].speaker SPEAKER_05
transcript.pyannote[174].start 3588.17909375
transcript.pyannote[174].end 3590.32221875
transcript.pyannote[175].speaker SPEAKER_05
transcript.pyannote[175].start 3590.67659375
transcript.pyannote[175].end 3595.78971875
transcript.pyannote[176].speaker SPEAKER_05
transcript.pyannote[176].start 3596.34659375
transcript.pyannote[176].end 3596.97096875
transcript.pyannote[177].speaker SPEAKER_05
transcript.pyannote[177].start 3597.56159375
transcript.pyannote[177].end 3598.74284375
transcript.pyannote[178].speaker SPEAKER_05
transcript.pyannote[178].start 3599.24909375
transcript.pyannote[178].end 3599.85659375
transcript.pyannote[179].speaker SPEAKER_05
transcript.pyannote[179].start 3600.29534375
transcript.pyannote[179].end 3602.50596875
transcript.pyannote[180].speaker SPEAKER_05
transcript.pyannote[180].start 3603.04596875
transcript.pyannote[180].end 3603.53534375
transcript.pyannote[181].speaker SPEAKER_05
transcript.pyannote[181].start 3604.29471875
transcript.pyannote[181].end 3605.29034375
transcript.pyannote[182].speaker SPEAKER_05
transcript.pyannote[182].start 3605.67846875
transcript.pyannote[182].end 3611.61846875
transcript.pyannote[183].speaker SPEAKER_05
transcript.pyannote[183].start 3612.04034375
transcript.pyannote[183].end 3633.08346875
transcript.pyannote[184].speaker SPEAKER_05
transcript.pyannote[184].start 3633.42096875
transcript.pyannote[184].end 3636.57659375
transcript.pyannote[185].speaker SPEAKER_05
transcript.pyannote[185].start 3636.77909375
transcript.pyannote[185].end 3639.69846875
transcript.pyannote[186].speaker SPEAKER_05
transcript.pyannote[186].start 3640.12034375
transcript.pyannote[186].end 3648.62534375
transcript.pyannote[187].speaker SPEAKER_05
transcript.pyannote[187].start 3648.89534375
transcript.pyannote[187].end 3658.26096875
transcript.pyannote[188].speaker SPEAKER_05
transcript.pyannote[188].start 3658.83471875
transcript.pyannote[188].end 3670.15784375
transcript.pyannote[189].speaker SPEAKER_05
transcript.pyannote[189].start 3671.65971875
transcript.pyannote[189].end 3695.23409375
transcript.pyannote[190].speaker SPEAKER_05
transcript.pyannote[190].start 3695.50409375
transcript.pyannote[190].end 3696.02721875
transcript.pyannote[191].speaker SPEAKER_05
transcript.pyannote[191].start 3696.39846875
transcript.pyannote[191].end 3697.96784375
transcript.pyannote[192].speaker SPEAKER_05
transcript.pyannote[192].start 3698.54159375
transcript.pyannote[192].end 3699.09846875
transcript.pyannote[193].speaker SPEAKER_05
transcript.pyannote[193].start 3699.90846875
transcript.pyannote[193].end 3705.61221875
transcript.pyannote[194].speaker SPEAKER_05
transcript.pyannote[194].start 3706.74284375
transcript.pyannote[194].end 3712.21034375
transcript.pyannote[195].speaker SPEAKER_05
transcript.pyannote[195].start 3712.68284375
transcript.pyannote[195].end 3715.28159375
transcript.pyannote[196].speaker SPEAKER_05
transcript.pyannote[196].start 3715.55159375
transcript.pyannote[196].end 3721.52534375
transcript.pyannote[197].speaker SPEAKER_05
transcript.pyannote[197].start 3721.62659375
transcript.pyannote[197].end 3723.16221875
transcript.pyannote[198].speaker SPEAKER_05
transcript.pyannote[198].start 3723.87096875
transcript.pyannote[198].end 3724.64721875
transcript.pyannote[199].speaker SPEAKER_05
transcript.pyannote[199].start 3725.30534375
transcript.pyannote[199].end 3729.30471875
transcript.pyannote[200].speaker SPEAKER_05
transcript.pyannote[200].start 3729.62534375
transcript.pyannote[200].end 3733.87784375
transcript.pyannote[201].speaker SPEAKER_05
transcript.pyannote[201].start 3734.01284375
transcript.pyannote[201].end 3736.44284375
transcript.pyannote[202].speaker SPEAKER_05
transcript.pyannote[202].start 3737.91096875
transcript.pyannote[202].end 3738.38346875
transcript.pyannote[203].speaker SPEAKER_05
transcript.pyannote[203].start 3738.67034375
transcript.pyannote[203].end 3740.05409375
transcript.pyannote[204].speaker SPEAKER_05
transcript.pyannote[204].start 3740.27346875
transcript.pyannote[204].end 3743.41221875
transcript.pyannote[205].speaker SPEAKER_05
transcript.pyannote[205].start 3743.76659375
transcript.pyannote[205].end 3749.03159375
transcript.pyannote[206].speaker SPEAKER_05
transcript.pyannote[206].start 3750.41534375
transcript.pyannote[206].end 3768.43784375
transcript.pyannote[207].speaker SPEAKER_13
transcript.pyannote[207].start 3773.19659375
transcript.pyannote[207].end 3776.65596875
transcript.pyannote[208].speaker SPEAKER_02
transcript.pyannote[208].start 3785.24534375
transcript.pyannote[208].end 3789.16034375
transcript.pyannote[209].speaker SPEAKER_02
transcript.pyannote[209].start 3789.49784375
transcript.pyannote[209].end 3815.67096875
transcript.pyannote[210].speaker SPEAKER_02
transcript.pyannote[210].start 3816.64971875
transcript.pyannote[210].end 3819.94034375
transcript.pyannote[211].speaker SPEAKER_02
transcript.pyannote[211].start 3820.34534375
transcript.pyannote[211].end 3821.08784375
transcript.pyannote[212].speaker SPEAKER_02
transcript.pyannote[212].start 3821.44221875
transcript.pyannote[212].end 3826.08284375
transcript.pyannote[213].speaker SPEAKER_02
transcript.pyannote[213].start 3826.18409375
transcript.pyannote[213].end 3829.13721875
transcript.pyannote[214].speaker SPEAKER_02
transcript.pyannote[214].start 3829.28909375
transcript.pyannote[214].end 3830.55471875
transcript.pyannote[215].speaker SPEAKER_02
transcript.pyannote[215].start 3830.97659375
transcript.pyannote[215].end 3831.48284375
transcript.pyannote[216].speaker SPEAKER_02
transcript.pyannote[216].start 3832.03971875
transcript.pyannote[216].end 3834.67221875
transcript.pyannote[217].speaker SPEAKER_02
transcript.pyannote[217].start 3834.90846875
transcript.pyannote[217].end 3838.51971875
transcript.pyannote[218].speaker SPEAKER_02
transcript.pyannote[218].start 3839.04284375
transcript.pyannote[218].end 3857.35221875
transcript.pyannote[219].speaker SPEAKER_02
transcript.pyannote[219].start 3857.45346875
transcript.pyannote[219].end 3860.71034375
transcript.pyannote[220].speaker SPEAKER_02
transcript.pyannote[220].start 3860.92971875
transcript.pyannote[220].end 3867.22409375
transcript.pyannote[221].speaker SPEAKER_02
transcript.pyannote[221].start 3867.62909375
transcript.pyannote[221].end 3879.39096875
transcript.pyannote[222].speaker SPEAKER_02
transcript.pyannote[222].start 3879.76221875
transcript.pyannote[222].end 3881.21346875
transcript.pyannote[223].speaker SPEAKER_02
transcript.pyannote[223].start 3881.98971875
transcript.pyannote[223].end 3883.89659375
transcript.pyannote[224].speaker SPEAKER_02
transcript.pyannote[224].start 3884.28471875
transcript.pyannote[224].end 3885.14534375
transcript.pyannote[225].speaker SPEAKER_02
transcript.pyannote[225].start 3886.39409375
transcript.pyannote[225].end 3886.93409375
transcript.pyannote[226].speaker SPEAKER_02
transcript.pyannote[226].start 3887.60909375
transcript.pyannote[226].end 3895.40534375
transcript.pyannote[227].speaker SPEAKER_02
transcript.pyannote[227].start 3895.54034375
transcript.pyannote[227].end 3898.07159375
transcript.pyannote[228].speaker SPEAKER_02
transcript.pyannote[228].start 3899.01659375
transcript.pyannote[228].end 3915.90846875
transcript.pyannote[229].speaker SPEAKER_02
transcript.pyannote[229].start 3916.06034375
transcript.pyannote[229].end 3919.03034375
transcript.pyannote[230].speaker SPEAKER_02
transcript.pyannote[230].start 3919.09784375
transcript.pyannote[230].end 3923.11409375
transcript.pyannote[231].speaker SPEAKER_02
transcript.pyannote[231].start 3923.29971875
transcript.pyannote[231].end 3927.70409375
transcript.pyannote[232].speaker SPEAKER_02
transcript.pyannote[232].start 3927.90659375
transcript.pyannote[232].end 3929.15534375
transcript.pyannote[233].speaker SPEAKER_02
transcript.pyannote[233].start 3929.42534375
transcript.pyannote[233].end 3931.88909375
transcript.pyannote[234].speaker SPEAKER_02
transcript.pyannote[234].start 3932.34471875
transcript.pyannote[234].end 3933.64409375
transcript.pyannote[235].speaker SPEAKER_02
transcript.pyannote[235].start 3934.06596875
transcript.pyannote[235].end 3939.92159375
transcript.pyannote[236].speaker SPEAKER_02
transcript.pyannote[236].start 3940.84971875
transcript.pyannote[236].end 3941.52471875
transcript.pyannote[237].speaker SPEAKER_02
transcript.pyannote[237].start 3942.23346875
transcript.pyannote[237].end 3946.06409375
transcript.pyannote[238].speaker SPEAKER_02
transcript.pyannote[238].start 3946.13159375
transcript.pyannote[238].end 3951.16034375
transcript.pyannote[239].speaker SPEAKER_02
transcript.pyannote[239].start 3951.27846875
transcript.pyannote[239].end 3954.13034375
transcript.pyannote[240].speaker SPEAKER_02
transcript.pyannote[240].start 3954.19784375
transcript.pyannote[240].end 3957.04971875
transcript.pyannote[241].speaker SPEAKER_02
transcript.pyannote[241].start 3957.33659375
transcript.pyannote[241].end 3959.05784375
transcript.pyannote[242].speaker SPEAKER_02
transcript.pyannote[242].start 3959.24346875
transcript.pyannote[242].end 3961.97721875
transcript.pyannote[243].speaker SPEAKER_02
transcript.pyannote[243].start 3962.02784375
transcript.pyannote[243].end 3973.43534375
transcript.pyannote[244].speaker SPEAKER_02
transcript.pyannote[244].start 3973.50284375
transcript.pyannote[244].end 3976.82721875
transcript.pyannote[245].speaker SPEAKER_02
transcript.pyannote[245].start 3977.29971875
transcript.pyannote[245].end 3982.98659375
transcript.pyannote[246].speaker SPEAKER_02
transcript.pyannote[246].start 3983.20596875
transcript.pyannote[246].end 3989.56784375
transcript.pyannote[247].speaker SPEAKER_02
transcript.pyannote[247].start 3989.85471875
transcript.pyannote[247].end 3998.96721875
transcript.pyannote[248].speaker SPEAKER_42
transcript.pyannote[248].start 4007.79284375
transcript.pyannote[248].end 4010.32409375
transcript.pyannote[249].speaker SPEAKER_42
transcript.pyannote[249].start 4011.18471875
transcript.pyannote[249].end 4018.76159375
transcript.pyannote[250].speaker SPEAKER_42
transcript.pyannote[250].start 4025.29221875
transcript.pyannote[250].end 4029.25784375
transcript.pyannote[251].speaker SPEAKER_42
transcript.pyannote[251].start 4029.94971875
transcript.pyannote[251].end 4030.91159375
transcript.pyannote[252].speaker SPEAKER_42
transcript.pyannote[252].start 4031.45159375
transcript.pyannote[252].end 4036.07534375
transcript.pyannote[253].speaker SPEAKER_42
transcript.pyannote[253].start 4036.88534375
transcript.pyannote[253].end 4039.93971875
transcript.pyannote[254].speaker SPEAKER_42
transcript.pyannote[254].start 4040.73284375
transcript.pyannote[254].end 4043.02784375
transcript.pyannote[255].speaker SPEAKER_42
transcript.pyannote[255].start 4044.10784375
transcript.pyannote[255].end 4045.74471875
transcript.pyannote[256].speaker SPEAKER_42
transcript.pyannote[256].start 4046.11596875
transcript.pyannote[256].end 4048.09034375
transcript.pyannote[257].speaker SPEAKER_42
transcript.pyannote[257].start 4048.90034375
transcript.pyannote[257].end 4052.39346875
transcript.pyannote[258].speaker SPEAKER_42
transcript.pyannote[258].start 4053.32159375
transcript.pyannote[258].end 4055.38034375
transcript.pyannote[259].speaker SPEAKER_42
transcript.pyannote[259].start 4056.24096875
transcript.pyannote[259].end 4061.32034375
transcript.pyannote[260].speaker SPEAKER_14
transcript.pyannote[260].start 4064.77971875
transcript.pyannote[260].end 4064.79659375
transcript.pyannote[261].speaker SPEAKER_24
transcript.pyannote[261].start 4064.79659375
transcript.pyannote[261].end 4064.84721875
transcript.pyannote[262].speaker SPEAKER_15
transcript.pyannote[262].start 4071.12471875
transcript.pyannote[262].end 4073.33534375
transcript.pyannote[263].speaker SPEAKER_42
transcript.pyannote[263].start 4073.77409375
transcript.pyannote[263].end 4073.95971875
transcript.pyannote[264].speaker SPEAKER_15
transcript.pyannote[264].start 4073.95971875
transcript.pyannote[264].end 4074.01034375
transcript.pyannote[265].speaker SPEAKER_42
transcript.pyannote[265].start 4074.01034375
transcript.pyannote[265].end 4074.02721875
transcript.pyannote[266].speaker SPEAKER_15
transcript.pyannote[266].start 4074.02721875
transcript.pyannote[266].end 4074.61784375
transcript.pyannote[267].speaker SPEAKER_15
transcript.pyannote[267].start 4081.11471875
transcript.pyannote[267].end 4090.19346875
transcript.pyannote[268].speaker SPEAKER_15
transcript.pyannote[268].start 4090.63221875
transcript.pyannote[268].end 4101.39846875
transcript.pyannote[269].speaker SPEAKER_25
transcript.pyannote[269].start 4101.39846875
transcript.pyannote[269].end 4101.58409375
transcript.pyannote[270].speaker SPEAKER_15
transcript.pyannote[270].start 4101.58409375
transcript.pyannote[270].end 4108.92471875
transcript.pyannote[271].speaker SPEAKER_29
transcript.pyannote[271].start 4108.92471875
transcript.pyannote[271].end 4109.02596875
transcript.pyannote[272].speaker SPEAKER_29
transcript.pyannote[272].start 4109.21159375
transcript.pyannote[272].end 4109.22846875
transcript.pyannote[273].speaker SPEAKER_15
transcript.pyannote[273].start 4109.22846875
transcript.pyannote[273].end 4109.24534375
transcript.pyannote[274].speaker SPEAKER_29
transcript.pyannote[274].start 4109.24534375
transcript.pyannote[274].end 4109.26221875
transcript.pyannote[275].speaker SPEAKER_15
transcript.pyannote[275].start 4109.26221875
transcript.pyannote[275].end 4109.97096875
transcript.pyannote[276].speaker SPEAKER_29
transcript.pyannote[276].start 4109.97096875
transcript.pyannote[276].end 4133.35971875
transcript.pyannote[277].speaker SPEAKER_12
transcript.pyannote[277].start 4113.59909375
transcript.pyannote[277].end 4113.63284375
transcript.pyannote[278].speaker SPEAKER_12
transcript.pyannote[278].start 4113.80159375
transcript.pyannote[278].end 4113.85221875
transcript.pyannote[279].speaker SPEAKER_15
transcript.pyannote[279].start 4129.32659375
transcript.pyannote[279].end 4130.23784375
transcript.pyannote[280].speaker SPEAKER_29
transcript.pyannote[280].start 4133.88284375
transcript.pyannote[280].end 4155.02721875
transcript.pyannote[281].speaker SPEAKER_15
transcript.pyannote[281].start 4134.43971875
transcript.pyannote[281].end 4135.16534375
transcript.pyannote[282].speaker SPEAKER_12
transcript.pyannote[282].start 4139.14784375
transcript.pyannote[282].end 4139.29971875
transcript.pyannote[283].speaker SPEAKER_15
transcript.pyannote[283].start 4139.29971875
transcript.pyannote[283].end 4140.16034375
transcript.pyannote[284].speaker SPEAKER_12
transcript.pyannote[284].start 4145.89784375
transcript.pyannote[284].end 4146.20159375
transcript.pyannote[285].speaker SPEAKER_15
transcript.pyannote[285].start 4155.02721875
transcript.pyannote[285].end 4203.96471875
transcript.pyannote[286].speaker SPEAKER_29
transcript.pyannote[286].start 4168.88159375
transcript.pyannote[286].end 4168.89846875
transcript.pyannote[287].speaker SPEAKER_25
transcript.pyannote[287].start 4168.89846875
transcript.pyannote[287].end 4169.23596875
transcript.pyannote[288].speaker SPEAKER_29
transcript.pyannote[288].start 4169.23596875
transcript.pyannote[288].end 4169.30346875
transcript.pyannote[289].speaker SPEAKER_29
transcript.pyannote[289].start 4170.65346875
transcript.pyannote[289].end 4171.04159375
transcript.pyannote[290].speaker SPEAKER_29
transcript.pyannote[290].start 4203.96471875
transcript.pyannote[290].end 4238.72721875
transcript.pyannote[291].speaker SPEAKER_26
transcript.pyannote[291].start 4234.37346875
transcript.pyannote[291].end 4234.66034375
transcript.pyannote[292].speaker SPEAKER_26
transcript.pyannote[292].start 4236.39846875
transcript.pyannote[292].end 4239.77346875
transcript.pyannote[293].speaker SPEAKER_29
transcript.pyannote[293].start 4239.19971875
transcript.pyannote[293].end 4245.74721875
transcript.pyannote[294].speaker SPEAKER_15
transcript.pyannote[294].start 4244.41409375
transcript.pyannote[294].end 4269.76034375
transcript.pyannote[295].speaker SPEAKER_24
transcript.pyannote[295].start 4269.84471875
transcript.pyannote[295].end 4269.86159375
transcript.pyannote[296].speaker SPEAKER_25
transcript.pyannote[296].start 4269.86159375
transcript.pyannote[296].end 4269.87846875
transcript.pyannote[297].speaker SPEAKER_24
transcript.pyannote[297].start 4269.87846875
transcript.pyannote[297].end 4269.91221875
transcript.pyannote[298].speaker SPEAKER_25
transcript.pyannote[298].start 4269.91221875
transcript.pyannote[298].end 4270.26659375
transcript.pyannote[299].speaker SPEAKER_15
transcript.pyannote[299].start 4270.26659375
transcript.pyannote[299].end 4271.04284375
transcript.pyannote[300].speaker SPEAKER_15
transcript.pyannote[300].start 4271.49846875
transcript.pyannote[300].end 4274.09721875
transcript.pyannote[301].speaker SPEAKER_25
transcript.pyannote[301].start 4274.36721875
transcript.pyannote[301].end 4274.67096875
transcript.pyannote[302].speaker SPEAKER_15
transcript.pyannote[302].start 4274.60346875
transcript.pyannote[302].end 4277.30346875
transcript.pyannote[303].speaker SPEAKER_25
transcript.pyannote[303].start 4277.30346875
transcript.pyannote[303].end 4277.43846875
transcript.pyannote[304].speaker SPEAKER_15
transcript.pyannote[304].start 4277.43846875
transcript.pyannote[304].end 4279.56471875
transcript.pyannote[305].speaker SPEAKER_25
transcript.pyannote[305].start 4279.91909375
transcript.pyannote[305].end 4281.25221875
transcript.pyannote[306].speaker SPEAKER_15
transcript.pyannote[306].start 4280.15534375
transcript.pyannote[306].end 4288.40721875
transcript.pyannote[307].speaker SPEAKER_29
transcript.pyannote[307].start 4287.09096875
transcript.pyannote[307].end 4287.63096875
transcript.pyannote[308].speaker SPEAKER_29
transcript.pyannote[308].start 4288.40721875
transcript.pyannote[308].end 4289.35221875
transcript.pyannote[309].speaker SPEAKER_29
transcript.pyannote[309].start 4289.53784375
transcript.pyannote[309].end 4327.50659375
transcript.pyannote[310].speaker SPEAKER_12
transcript.pyannote[310].start 4297.53659375
transcript.pyannote[310].end 4297.99221875
transcript.pyannote[311].speaker SPEAKER_15
transcript.pyannote[311].start 4308.89346875
transcript.pyannote[311].end 4311.88034375
transcript.pyannote[312].speaker SPEAKER_29
transcript.pyannote[312].start 4328.99159375
transcript.pyannote[312].end 4329.49784375
transcript.pyannote[313].speaker SPEAKER_19
transcript.pyannote[313].start 4329.31221875
transcript.pyannote[313].end 4329.34596875
transcript.pyannote[314].speaker SPEAKER_25
transcript.pyannote[314].start 4329.49784375
transcript.pyannote[314].end 4329.85221875
transcript.pyannote[315].speaker SPEAKER_29
transcript.pyannote[315].start 4329.85221875
transcript.pyannote[315].end 4330.13909375
transcript.pyannote[316].speaker SPEAKER_25
transcript.pyannote[316].start 4330.13909375
transcript.pyannote[316].end 4330.17284375
transcript.pyannote[317].speaker SPEAKER_19
transcript.pyannote[317].start 4330.17284375
transcript.pyannote[317].end 4344.44909375
transcript.pyannote[318].speaker SPEAKER_36
transcript.pyannote[318].start 4343.03159375
transcript.pyannote[318].end 4345.02284375
transcript.pyannote[319].speaker SPEAKER_15
transcript.pyannote[319].start 4345.02284375
transcript.pyannote[319].end 4346.45721875
transcript.pyannote[320].speaker SPEAKER_19
transcript.pyannote[320].start 4345.20846875
transcript.pyannote[320].end 4350.10221875
transcript.pyannote[321].speaker SPEAKER_36
transcript.pyannote[321].start 4346.45721875
transcript.pyannote[321].end 4346.47409375
transcript.pyannote[322].speaker SPEAKER_15
transcript.pyannote[322].start 4346.47409375
transcript.pyannote[322].end 4346.49096875
transcript.pyannote[323].speaker SPEAKER_15
transcript.pyannote[323].start 4349.73096875
transcript.pyannote[323].end 4362.99471875
transcript.pyannote[324].speaker SPEAKER_25
transcript.pyannote[324].start 4362.99471875
transcript.pyannote[324].end 4363.21409375
transcript.pyannote[325].speaker SPEAKER_15
transcript.pyannote[325].start 4363.21409375
transcript.pyannote[325].end 4374.35159375
transcript.pyannote[326].speaker SPEAKER_25
transcript.pyannote[326].start 4374.63846875
transcript.pyannote[326].end 4374.99284375
transcript.pyannote[327].speaker SPEAKER_15
transcript.pyannote[327].start 4374.99284375
transcript.pyannote[327].end 4378.01346875
transcript.pyannote[328].speaker SPEAKER_15
transcript.pyannote[328].start 4378.43534375
transcript.pyannote[328].end 4380.19034375
transcript.pyannote[329].speaker SPEAKER_26
transcript.pyannote[329].start 4380.19034375
transcript.pyannote[329].end 4380.42659375
transcript.pyannote[330].speaker SPEAKER_15
transcript.pyannote[330].start 4381.03409375
transcript.pyannote[330].end 4388.15534375
transcript.pyannote[331].speaker SPEAKER_15
transcript.pyannote[331].start 4388.52659375
transcript.pyannote[331].end 4414.81784375
transcript.pyannote[332].speaker SPEAKER_15
transcript.pyannote[332].start 4415.47596875
transcript.pyannote[332].end 4419.37409375
transcript.pyannote[333].speaker SPEAKER_15
transcript.pyannote[333].start 4419.61034375
transcript.pyannote[333].end 4425.73596875
transcript.pyannote[334].speaker SPEAKER_15
transcript.pyannote[334].start 4426.02284375
transcript.pyannote[334].end 4426.51221875
transcript.pyannote[335].speaker SPEAKER_24
transcript.pyannote[335].start 4426.05659375
transcript.pyannote[335].end 4426.71471875
transcript.pyannote[336].speaker SPEAKER_15
transcript.pyannote[336].start 4427.03534375
transcript.pyannote[336].end 4430.91659375
transcript.pyannote[337].speaker SPEAKER_25
transcript.pyannote[337].start 4430.76471875
transcript.pyannote[337].end 4430.79846875
transcript.pyannote[338].speaker SPEAKER_29
transcript.pyannote[338].start 4430.91659375
transcript.pyannote[338].end 4430.95034375
transcript.pyannote[339].speaker SPEAKER_15
transcript.pyannote[339].start 4430.95034375
transcript.pyannote[339].end 4430.96721875
transcript.pyannote[340].speaker SPEAKER_29
transcript.pyannote[340].start 4430.96721875
transcript.pyannote[340].end 4430.98409375
transcript.pyannote[341].speaker SPEAKER_15
transcript.pyannote[341].start 4430.98409375
transcript.pyannote[341].end 4435.48971875
transcript.pyannote[342].speaker SPEAKER_29
transcript.pyannote[342].start 4431.00096875
transcript.pyannote[342].end 4431.15284375
transcript.pyannote[343].speaker SPEAKER_29
transcript.pyannote[343].start 4435.06784375
transcript.pyannote[343].end 4442.37471875
transcript.pyannote[344].speaker SPEAKER_15
transcript.pyannote[344].start 4441.44659375
transcript.pyannote[344].end 4445.83409375
transcript.pyannote[345].speaker SPEAKER_15
transcript.pyannote[345].start 4446.57659375
transcript.pyannote[345].end 4457.35971875
transcript.pyannote[346].speaker SPEAKER_24
transcript.pyannote[346].start 4457.39346875
transcript.pyannote[346].end 4457.66346875
transcript.pyannote[347].speaker SPEAKER_15
transcript.pyannote[347].start 4457.66346875
transcript.pyannote[347].end 4458.50721875
transcript.pyannote[348].speaker SPEAKER_15
transcript.pyannote[348].start 4458.67596875
transcript.pyannote[348].end 4460.46471875
transcript.pyannote[349].speaker SPEAKER_15
transcript.pyannote[349].start 4460.81909375
transcript.pyannote[349].end 4464.71721875
transcript.pyannote[350].speaker SPEAKER_15
transcript.pyannote[350].start 4465.13909375
transcript.pyannote[350].end 4467.09659375
transcript.pyannote[351].speaker SPEAKER_15
transcript.pyannote[351].start 4468.41284375
transcript.pyannote[351].end 4469.13846875
transcript.pyannote[352].speaker SPEAKER_15
transcript.pyannote[352].start 4469.52659375
transcript.pyannote[352].end 4476.66471875
transcript.pyannote[353].speaker SPEAKER_29
transcript.pyannote[353].start 4469.72909375
transcript.pyannote[353].end 4469.96534375
transcript.pyannote[354].speaker SPEAKER_25
transcript.pyannote[354].start 4469.96534375
transcript.pyannote[354].end 4470.03284375
transcript.pyannote[355].speaker SPEAKER_29
transcript.pyannote[355].start 4477.74471875
transcript.pyannote[355].end 4477.81221875
transcript.pyannote[356].speaker SPEAKER_15
transcript.pyannote[356].start 4477.81221875
transcript.pyannote[356].end 4477.96409375
transcript.pyannote[357].speaker SPEAKER_29
transcript.pyannote[357].start 4477.96409375
transcript.pyannote[357].end 4478.11596875
transcript.pyannote[358].speaker SPEAKER_15
transcript.pyannote[358].start 4478.11596875
transcript.pyannote[358].end 4478.18346875
transcript.pyannote[359].speaker SPEAKER_29
transcript.pyannote[359].start 4478.18346875
transcript.pyannote[359].end 4492.22346875
transcript.pyannote[360].speaker SPEAKER_15
transcript.pyannote[360].start 4478.72346875
transcript.pyannote[360].end 4479.63471875
transcript.pyannote[361].speaker SPEAKER_15
transcript.pyannote[361].start 4490.77221875
transcript.pyannote[361].end 4493.20221875
transcript.pyannote[362].speaker SPEAKER_29
transcript.pyannote[362].start 4493.20221875
transcript.pyannote[362].end 4503.69846875
transcript.pyannote[363].speaker SPEAKER_15
transcript.pyannote[363].start 4493.28659375
transcript.pyannote[363].end 4494.65346875
transcript.pyannote[364].speaker SPEAKER_15
transcript.pyannote[364].start 4496.30721875
transcript.pyannote[364].end 4496.39159375
transcript.pyannote[365].speaker SPEAKER_15
transcript.pyannote[365].start 4502.56784375
transcript.pyannote[365].end 4502.85471875
transcript.pyannote[366].speaker SPEAKER_15
transcript.pyannote[366].start 4502.92221875
transcript.pyannote[366].end 4504.47471875
transcript.pyannote[367].speaker SPEAKER_15
transcript.pyannote[367].start 4505.20034375
transcript.pyannote[367].end 4506.73596875
transcript.pyannote[368].speaker SPEAKER_29
transcript.pyannote[368].start 4505.99346875
transcript.pyannote[368].end 4506.46596875
transcript.pyannote[369].speaker SPEAKER_29
transcript.pyannote[369].start 4506.73596875
transcript.pyannote[369].end 4506.75284375
transcript.pyannote[370].speaker SPEAKER_15
transcript.pyannote[370].start 4506.75284375
transcript.pyannote[370].end 4506.76971875
transcript.pyannote[371].speaker SPEAKER_29
transcript.pyannote[371].start 4506.76971875
transcript.pyannote[371].end 4507.96784375
transcript.pyannote[372].speaker SPEAKER_15
transcript.pyannote[372].start 4507.54596875
transcript.pyannote[372].end 4508.76096875
transcript.pyannote[373].speaker SPEAKER_29
transcript.pyannote[373].start 4508.76096875
transcript.pyannote[373].end 4508.81159375
transcript.pyannote[374].speaker SPEAKER_15
transcript.pyannote[374].start 4508.81159375
transcript.pyannote[374].end 4508.87909375
transcript.pyannote[375].speaker SPEAKER_29
transcript.pyannote[375].start 4508.87909375
transcript.pyannote[375].end 4509.03096875
transcript.pyannote[376].speaker SPEAKER_15
transcript.pyannote[376].start 4509.03096875
transcript.pyannote[376].end 4514.32971875
transcript.pyannote[377].speaker SPEAKER_29
transcript.pyannote[377].start 4509.08159375
transcript.pyannote[377].end 4509.92534375
transcript.pyannote[378].speaker SPEAKER_15
transcript.pyannote[378].start 4514.92034375
transcript.pyannote[378].end 4517.63721875
transcript.pyannote[379].speaker SPEAKER_29
transcript.pyannote[379].start 4518.59909375
transcript.pyannote[379].end 4520.03346875
transcript.pyannote[380].speaker SPEAKER_15
transcript.pyannote[380].start 4521.82221875
transcript.pyannote[380].end 4526.98596875
transcript.pyannote[381].speaker SPEAKER_15
transcript.pyannote[381].start 4527.61034375
transcript.pyannote[381].end 4536.99284375
transcript.pyannote[382].speaker SPEAKER_15
transcript.pyannote[382].start 4537.22909375
transcript.pyannote[382].end 4543.47284375
transcript.pyannote[383].speaker SPEAKER_15
transcript.pyannote[383].start 4545.14346875
transcript.pyannote[383].end 4562.60909375
transcript.pyannote[384].speaker SPEAKER_24
transcript.pyannote[384].start 4562.60909375
transcript.pyannote[384].end 4562.86221875
transcript.pyannote[385].speaker SPEAKER_15
transcript.pyannote[385].start 4562.86221875
transcript.pyannote[385].end 4571.68784375
transcript.pyannote[386].speaker SPEAKER_15
transcript.pyannote[386].start 4572.34596875
transcript.pyannote[386].end 4573.10534375
transcript.pyannote[387].speaker SPEAKER_29
transcript.pyannote[387].start 4573.10534375
transcript.pyannote[387].end 4574.82659375
transcript.pyannote[388].speaker SPEAKER_29
transcript.pyannote[388].start 4574.87721875
transcript.pyannote[388].end 4574.92784375
transcript.pyannote[389].speaker SPEAKER_15
transcript.pyannote[389].start 4574.92784375
transcript.pyannote[389].end 4578.18471875
transcript.pyannote[390].speaker SPEAKER_29
transcript.pyannote[390].start 4578.18471875
transcript.pyannote[390].end 4597.03409375
transcript.pyannote[391].speaker SPEAKER_15
transcript.pyannote[391].start 4597.03409375
transcript.pyannote[391].end 4600.66221875
transcript.pyannote[392].speaker SPEAKER_24
transcript.pyannote[392].start 4600.61159375
transcript.pyannote[392].end 4601.05034375
transcript.pyannote[393].speaker SPEAKER_15
transcript.pyannote[393].start 4600.86471875
transcript.pyannote[393].end 4608.96471875
transcript.pyannote[394].speaker SPEAKER_29
transcript.pyannote[394].start 4608.96471875
transcript.pyannote[394].end 4614.49971875
transcript.pyannote[395].speaker SPEAKER_15
transcript.pyannote[395].start 4614.49971875
transcript.pyannote[395].end 4616.69346875
transcript.pyannote[396].speaker SPEAKER_29
transcript.pyannote[396].start 4615.42784375
transcript.pyannote[396].end 4615.81596875
transcript.pyannote[397].speaker SPEAKER_15
transcript.pyannote[397].start 4617.36846875
transcript.pyannote[397].end 4621.33409375
transcript.pyannote[398].speaker SPEAKER_15
transcript.pyannote[398].start 4622.02596875
transcript.pyannote[398].end 4623.35909375
transcript.pyannote[399].speaker SPEAKER_15
transcript.pyannote[399].start 4623.96659375
transcript.pyannote[399].end 4627.24034375
transcript.pyannote[400].speaker SPEAKER_15
transcript.pyannote[400].start 4627.47659375
transcript.pyannote[400].end 4631.81346875
transcript.pyannote[401].speaker SPEAKER_15
transcript.pyannote[401].start 4632.23534375
transcript.pyannote[401].end 4643.20409375
transcript.pyannote[402].speaker SPEAKER_15
transcript.pyannote[402].start 4643.71034375
transcript.pyannote[402].end 4649.97096875
transcript.pyannote[403].speaker SPEAKER_15
transcript.pyannote[403].start 4650.13971875
transcript.pyannote[403].end 4657.66596875
transcript.pyannote[404].speaker SPEAKER_29
transcript.pyannote[404].start 4657.80096875
transcript.pyannote[404].end 4660.04534375
transcript.pyannote[405].speaker SPEAKER_15
transcript.pyannote[405].start 4659.10034375
transcript.pyannote[405].end 4660.43346875
transcript.pyannote[406].speaker SPEAKER_29
transcript.pyannote[406].start 4660.11284375
transcript.pyannote[406].end 4660.19721875
transcript.pyannote[407].speaker SPEAKER_29
transcript.pyannote[407].start 4660.43346875
transcript.pyannote[407].end 4663.74096875
transcript.pyannote[408].speaker SPEAKER_15
transcript.pyannote[408].start 4663.30221875
transcript.pyannote[408].end 4671.06471875
transcript.pyannote[409].speaker SPEAKER_15
transcript.pyannote[409].start 4671.72284375
transcript.pyannote[409].end 4675.45221875
transcript.pyannote[410].speaker SPEAKER_13
transcript.pyannote[410].start 4672.31346875
transcript.pyannote[410].end 4672.71846875
transcript.pyannote[411].speaker SPEAKER_15
transcript.pyannote[411].start 4675.95846875
transcript.pyannote[411].end 4680.98721875
transcript.pyannote[412].speaker SPEAKER_15
transcript.pyannote[412].start 4681.67909375
transcript.pyannote[412].end 4681.99971875
transcript.pyannote[413].speaker SPEAKER_15
transcript.pyannote[413].start 4682.62409375
transcript.pyannote[413].end 4683.31596875
transcript.pyannote[414].speaker SPEAKER_15
transcript.pyannote[414].start 4684.22721875
transcript.pyannote[414].end 4686.03284375
transcript.pyannote[415].speaker SPEAKER_15
transcript.pyannote[415].start 4686.92721875
transcript.pyannote[415].end 4695.68534375
transcript.pyannote[416].speaker SPEAKER_15
transcript.pyannote[416].start 4697.08596875
transcript.pyannote[416].end 4697.52471875
transcript.pyannote[417].speaker SPEAKER_15
transcript.pyannote[417].start 4699.24596875
transcript.pyannote[417].end 4705.06784375
transcript.pyannote[418].speaker SPEAKER_15
transcript.pyannote[418].start 4705.52346875
transcript.pyannote[418].end 4716.12096875
transcript.pyannote[419].speaker SPEAKER_05
transcript.pyannote[419].start 4716.12096875
transcript.pyannote[419].end 4723.44471875
transcript.pyannote[420].speaker SPEAKER_15
transcript.pyannote[420].start 4720.39034375
transcript.pyannote[420].end 4720.69409375
transcript.pyannote[421].speaker SPEAKER_24
transcript.pyannote[421].start 4720.69409375
transcript.pyannote[421].end 4720.81221875
transcript.pyannote[422].speaker SPEAKER_15
transcript.pyannote[422].start 4720.81221875
transcript.pyannote[422].end 4720.82909375
transcript.pyannote[423].speaker SPEAKER_15
transcript.pyannote[423].start 4723.37721875
transcript.pyannote[423].end 4723.39409375
transcript.pyannote[424].speaker SPEAKER_24
transcript.pyannote[424].start 4723.39409375
transcript.pyannote[424].end 4723.76534375
transcript.pyannote[425].speaker SPEAKER_15
transcript.pyannote[425].start 4723.44471875
transcript.pyannote[425].end 4723.46159375
transcript.pyannote[426].speaker SPEAKER_15
transcript.pyannote[426].start 4723.61346875
transcript.pyannote[426].end 4723.63034375
transcript.pyannote[427].speaker SPEAKER_05
transcript.pyannote[427].start 4723.63034375
transcript.pyannote[427].end 4725.36846875
transcript.pyannote[428].speaker SPEAKER_15
transcript.pyannote[428].start 4724.69346875
transcript.pyannote[428].end 4724.72721875
transcript.pyannote[429].speaker SPEAKER_24
transcript.pyannote[429].start 4724.72721875
transcript.pyannote[429].end 4725.30096875
transcript.pyannote[430].speaker SPEAKER_15
transcript.pyannote[430].start 4725.30096875
transcript.pyannote[430].end 4725.35159375
transcript.pyannote[431].speaker SPEAKER_15
transcript.pyannote[431].start 4725.36846875
transcript.pyannote[431].end 4730.02596875
transcript.pyannote[432].speaker SPEAKER_05
transcript.pyannote[432].start 4730.02596875
transcript.pyannote[432].end 4730.93721875
transcript.pyannote[433].speaker SPEAKER_15
transcript.pyannote[433].start 4730.93721875
transcript.pyannote[433].end 4731.03846875
transcript.pyannote[434].speaker SPEAKER_05
transcript.pyannote[434].start 4731.03846875
transcript.pyannote[434].end 4732.01721875
transcript.pyannote[435].speaker SPEAKER_05
transcript.pyannote[435].start 4732.23659375
transcript.pyannote[435].end 4741.97346875
transcript.pyannote[436].speaker SPEAKER_05
transcript.pyannote[436].start 4742.02409375
transcript.pyannote[436].end 4742.76659375
transcript.pyannote[437].speaker SPEAKER_05
transcript.pyannote[437].start 4743.30659375
transcript.pyannote[437].end 4745.56784375
transcript.pyannote[438].speaker SPEAKER_05
transcript.pyannote[438].start 4746.07409375
transcript.pyannote[438].end 4767.79221875
transcript.pyannote[439].speaker SPEAKER_05
transcript.pyannote[439].start 4768.46721875
transcript.pyannote[439].end 4768.97346875
transcript.pyannote[440].speaker SPEAKER_15
transcript.pyannote[440].start 4768.97346875
transcript.pyannote[440].end 4792.48034375
transcript.pyannote[441].speaker SPEAKER_15
transcript.pyannote[441].start 4792.96971875
transcript.pyannote[441].end 4794.92721875
transcript.pyannote[442].speaker SPEAKER_15
transcript.pyannote[442].start 4794.97784375
transcript.pyannote[442].end 4794.99471875
transcript.pyannote[443].speaker SPEAKER_15
transcript.pyannote[443].start 4795.11284375
transcript.pyannote[443].end 4814.51909375
transcript.pyannote[444].speaker SPEAKER_05
transcript.pyannote[444].start 4800.19221875
transcript.pyannote[444].end 4800.22596875
transcript.pyannote[445].speaker SPEAKER_05
transcript.pyannote[445].start 4803.70221875
transcript.pyannote[445].end 4804.24221875
transcript.pyannote[446].speaker SPEAKER_15
transcript.pyannote[446].start 4814.85659375
transcript.pyannote[446].end 4816.07159375
transcript.pyannote[447].speaker SPEAKER_05
transcript.pyannote[447].start 4816.34159375
transcript.pyannote[447].end 4817.74221875
transcript.pyannote[448].speaker SPEAKER_15
transcript.pyannote[448].start 4817.18534375
transcript.pyannote[448].end 4823.51346875
transcript.pyannote[449].speaker SPEAKER_15
transcript.pyannote[449].start 4823.71596875
transcript.pyannote[449].end 4827.02346875
transcript.pyannote[450].speaker SPEAKER_05
transcript.pyannote[450].start 4827.02346875
transcript.pyannote[450].end 4841.33346875
transcript.pyannote[451].speaker SPEAKER_05
transcript.pyannote[451].start 4841.58659375
transcript.pyannote[451].end 4845.72096875
transcript.pyannote[452].speaker SPEAKER_05
transcript.pyannote[452].start 4846.14284375
transcript.pyannote[452].end 4848.97784375
transcript.pyannote[453].speaker SPEAKER_41
transcript.pyannote[453].start 4847.54346875
transcript.pyannote[453].end 4847.71221875
transcript.pyannote[454].speaker SPEAKER_15
transcript.pyannote[454].start 4848.97784375
transcript.pyannote[454].end 4851.28971875
transcript.pyannote[455].speaker SPEAKER_15
transcript.pyannote[455].start 4852.03221875
transcript.pyannote[455].end 4854.20909375
transcript.pyannote[456].speaker SPEAKER_15
transcript.pyannote[456].start 4854.51284375
transcript.pyannote[456].end 4860.52034375
transcript.pyannote[457].speaker SPEAKER_05
transcript.pyannote[457].start 4860.52034375
transcript.pyannote[457].end 4861.19534375
transcript.pyannote[458].speaker SPEAKER_15
transcript.pyannote[458].start 4861.07721875
transcript.pyannote[458].end 4875.40409375
transcript.pyannote[459].speaker SPEAKER_15
transcript.pyannote[459].start 4875.64034375
transcript.pyannote[459].end 4882.50846875
transcript.pyannote[460].speaker SPEAKER_05
transcript.pyannote[460].start 4881.86721875
transcript.pyannote[460].end 4883.41971875
transcript.pyannote[461].speaker SPEAKER_15
transcript.pyannote[461].start 4882.72784375
transcript.pyannote[461].end 4883.97659375
transcript.pyannote[462].speaker SPEAKER_05
transcript.pyannote[462].start 4883.97659375
transcript.pyannote[462].end 4884.01034375
transcript.pyannote[463].speaker SPEAKER_15
transcript.pyannote[463].start 4884.01034375
transcript.pyannote[463].end 4890.23721875
transcript.pyannote[464].speaker SPEAKER_05
transcript.pyannote[464].start 4884.21284375
transcript.pyannote[464].end 4884.49971875
transcript.pyannote[465].speaker SPEAKER_24
transcript.pyannote[465].start 4890.50721875
transcript.pyannote[465].end 4890.89534375
transcript.pyannote[466].speaker SPEAKER_15
transcript.pyannote[466].start 4890.62534375
transcript.pyannote[466].end 4895.58659375
transcript.pyannote[467].speaker SPEAKER_15
transcript.pyannote[467].start 4896.12659375
transcript.pyannote[467].end 4907.14596875
transcript.pyannote[468].speaker SPEAKER_05
transcript.pyannote[468].start 4906.03221875
transcript.pyannote[468].end 4927.21034375
transcript.pyannote[469].speaker SPEAKER_15
transcript.pyannote[469].start 4908.36096875
transcript.pyannote[469].end 4909.22159375
transcript.pyannote[470].speaker SPEAKER_15
transcript.pyannote[470].start 4924.18971875
transcript.pyannote[470].end 4924.62846875
transcript.pyannote[471].speaker SPEAKER_15
transcript.pyannote[471].start 4927.21034375
transcript.pyannote[471].end 4929.74159375
transcript.pyannote[472].speaker SPEAKER_05
transcript.pyannote[472].start 4927.26096875
transcript.pyannote[472].end 4928.07096875
transcript.pyannote[473].speaker SPEAKER_15
transcript.pyannote[473].start 4930.31534375
transcript.pyannote[473].end 4938.26346875
transcript.pyannote[474].speaker SPEAKER_15
transcript.pyannote[474].start 4939.36034375
transcript.pyannote[474].end 4940.84534375
transcript.pyannote[475].speaker SPEAKER_15
transcript.pyannote[475].start 4941.21659375
transcript.pyannote[475].end 4947.02159375
transcript.pyannote[476].speaker SPEAKER_05
transcript.pyannote[476].start 4947.49409375
transcript.pyannote[476].end 4948.11846875
transcript.pyannote[477].speaker SPEAKER_15
transcript.pyannote[477].start 4948.11846875
transcript.pyannote[477].end 4955.93159375
transcript.pyannote[478].speaker SPEAKER_05
transcript.pyannote[478].start 4951.42596875
transcript.pyannote[478].end 4952.96159375
transcript.pyannote[479].speaker SPEAKER_15
transcript.pyannote[479].start 4956.92721875
transcript.pyannote[479].end 4958.05784375
transcript.pyannote[480].speaker SPEAKER_15
transcript.pyannote[480].start 4958.26034375
transcript.pyannote[480].end 4960.72409375
transcript.pyannote[481].speaker SPEAKER_15
transcript.pyannote[481].start 4961.31471875
transcript.pyannote[481].end 4964.11596875
transcript.pyannote[482].speaker SPEAKER_15
transcript.pyannote[482].start 4964.70659375
transcript.pyannote[482].end 4965.28034375
transcript.pyannote[483].speaker SPEAKER_15
transcript.pyannote[483].start 4965.90471875
transcript.pyannote[483].end 4966.41096875
transcript.pyannote[484].speaker SPEAKER_15
transcript.pyannote[484].start 4966.84971875
transcript.pyannote[484].end 4968.80721875
transcript.pyannote[485].speaker SPEAKER_15
transcript.pyannote[485].start 4969.29659375
transcript.pyannote[485].end 4970.93346875
transcript.pyannote[486].speaker SPEAKER_15
transcript.pyannote[486].start 4971.86159375
transcript.pyannote[486].end 4986.08721875
transcript.pyannote[487].speaker SPEAKER_15
transcript.pyannote[487].start 4986.59346875
transcript.pyannote[487].end 4993.90034375
transcript.pyannote[488].speaker SPEAKER_15
transcript.pyannote[488].start 4994.37284375
transcript.pyannote[488].end 4997.79846875
transcript.pyannote[489].speaker SPEAKER_15
transcript.pyannote[489].start 4997.96721875
transcript.pyannote[489].end 5001.67971875
transcript.pyannote[490].speaker SPEAKER_15
transcript.pyannote[490].start 5002.06784375
transcript.pyannote[490].end 5006.87721875
transcript.pyannote[491].speaker SPEAKER_15
transcript.pyannote[491].start 5007.16409375
transcript.pyannote[491].end 5008.37909375
transcript.pyannote[492].speaker SPEAKER_15
transcript.pyannote[492].start 5009.03721875
transcript.pyannote[492].end 5009.64471875
transcript.pyannote[493].speaker SPEAKER_05
transcript.pyannote[493].start 5009.64471875
transcript.pyannote[493].end 5010.79221875
transcript.pyannote[494].speaker SPEAKER_15
transcript.pyannote[494].start 5010.79221875
transcript.pyannote[494].end 5010.80909375
transcript.pyannote[495].speaker SPEAKER_05
transcript.pyannote[495].start 5011.24784375
transcript.pyannote[495].end 5025.16971875
transcript.pyannote[496].speaker SPEAKER_15
transcript.pyannote[496].start 5023.63409375
transcript.pyannote[496].end 5023.97159375
transcript.pyannote[497].speaker SPEAKER_15
transcript.pyannote[497].start 5025.16971875
transcript.pyannote[497].end 5025.18659375
transcript.pyannote[498].speaker SPEAKER_05
transcript.pyannote[498].start 5025.18659375
transcript.pyannote[498].end 5025.20346875
transcript.pyannote[499].speaker SPEAKER_05
transcript.pyannote[499].start 5025.64221875
transcript.pyannote[499].end 5025.96284375
transcript.pyannote[500].speaker SPEAKER_15
transcript.pyannote[500].start 5025.96284375
transcript.pyannote[500].end 5033.70846875
transcript.pyannote[501].speaker SPEAKER_15
transcript.pyannote[501].start 5034.94034375
transcript.pyannote[501].end 5048.69346875
transcript.pyannote[502].speaker SPEAKER_05
transcript.pyannote[502].start 5048.13659375
transcript.pyannote[502].end 5049.70596875
transcript.pyannote[503].speaker SPEAKER_13
transcript.pyannote[503].start 5054.76846875
transcript.pyannote[503].end 5067.39096875
transcript.pyannote[504].speaker SPEAKER_13
transcript.pyannote[504].start 5068.38659375
transcript.pyannote[504].end 5069.90534375
transcript.pyannote[505].speaker SPEAKER_42
transcript.pyannote[505].start 5077.41471875
transcript.pyannote[505].end 5081.75159375
transcript.pyannote[506].speaker SPEAKER_42
transcript.pyannote[506].start 5082.79784375
transcript.pyannote[506].end 5084.02971875
transcript.pyannote[507].speaker SPEAKER_42
transcript.pyannote[507].start 5084.41784375
transcript.pyannote[507].end 5085.26159375
transcript.pyannote[508].speaker SPEAKER_13
transcript.pyannote[508].start 5088.83909375
transcript.pyannote[508].end 5089.34534375
transcript.pyannote[509].speaker SPEAKER_13
transcript.pyannote[509].start 5090.86409375
transcript.pyannote[509].end 5092.21409375
transcript.pyannote[510].speaker SPEAKER_25
transcript.pyannote[510].start 5095.08284375
transcript.pyannote[510].end 5095.38659375
transcript.pyannote[511].speaker SPEAKER_42
transcript.pyannote[511].start 5095.21784375
transcript.pyannote[511].end 5095.75784375
transcript.pyannote[512].speaker SPEAKER_25
transcript.pyannote[512].start 5095.90971875
transcript.pyannote[512].end 5096.23034375
transcript.pyannote[513].speaker SPEAKER_42
transcript.pyannote[513].start 5096.60159375
transcript.pyannote[513].end 5100.83721875
transcript.pyannote[514].speaker SPEAKER_42
transcript.pyannote[514].start 5101.69784375
transcript.pyannote[514].end 5104.48221875
transcript.pyannote[515].speaker SPEAKER_42
transcript.pyannote[515].start 5104.81971875
transcript.pyannote[515].end 5106.05159375
transcript.pyannote[516].speaker SPEAKER_12
transcript.pyannote[516].start 5106.15284375
transcript.pyannote[516].end 5106.16971875
transcript.pyannote[517].speaker SPEAKER_24
transcript.pyannote[517].start 5106.16971875
transcript.pyannote[517].end 5106.59159375
transcript.pyannote[518].speaker SPEAKER_42
transcript.pyannote[518].start 5107.09784375
transcript.pyannote[518].end 5124.56346875
transcript.pyannote[519].speaker SPEAKER_42
transcript.pyannote[519].start 5124.83346875
transcript.pyannote[519].end 5134.80659375
transcript.pyannote[520].speaker SPEAKER_42
transcript.pyannote[520].start 5134.95846875
transcript.pyannote[520].end 5141.52284375
transcript.pyannote[521].speaker SPEAKER_42
transcript.pyannote[521].start 5141.77596875
transcript.pyannote[521].end 5146.01159375
transcript.pyannote[522].speaker SPEAKER_42
transcript.pyannote[522].start 5146.31534375
transcript.pyannote[522].end 5162.59971875
transcript.pyannote[523].speaker SPEAKER_24
transcript.pyannote[523].start 5162.59971875
transcript.pyannote[523].end 5162.97096875
transcript.pyannote[524].speaker SPEAKER_42
transcript.pyannote[524].start 5162.85284375
transcript.pyannote[524].end 5172.47159375
transcript.pyannote[525].speaker SPEAKER_29
transcript.pyannote[525].start 5172.94409375
transcript.pyannote[525].end 5190.03846875
transcript.pyannote[526].speaker SPEAKER_42
transcript.pyannote[526].start 5190.13971875
transcript.pyannote[526].end 5193.29534375
transcript.pyannote[527].speaker SPEAKER_42
transcript.pyannote[527].start 5193.58221875
transcript.pyannote[527].end 5196.29909375
transcript.pyannote[528].speaker SPEAKER_42
transcript.pyannote[528].start 5196.38346875
transcript.pyannote[528].end 5199.23534375
transcript.pyannote[529].speaker SPEAKER_12
transcript.pyannote[529].start 5199.16784375
transcript.pyannote[529].end 5199.21846875
transcript.pyannote[530].speaker SPEAKER_12
transcript.pyannote[530].start 5199.23534375
transcript.pyannote[530].end 5199.77534375
transcript.pyannote[531].speaker SPEAKER_42
transcript.pyannote[531].start 5199.60659375
transcript.pyannote[531].end 5212.36409375
transcript.pyannote[532].speaker SPEAKER_29
transcript.pyannote[532].start 5212.36409375
transcript.pyannote[532].end 5213.27534375
transcript.pyannote[533].speaker SPEAKER_42
transcript.pyannote[533].start 5212.46534375
transcript.pyannote[533].end 5212.80284375
transcript.pyannote[534].speaker SPEAKER_42
transcript.pyannote[534].start 5213.27534375
transcript.pyannote[534].end 5222.20221875
transcript.pyannote[535].speaker SPEAKER_24
transcript.pyannote[535].start 5222.20221875
transcript.pyannote[535].end 5222.52284375
transcript.pyannote[536].speaker SPEAKER_42
transcript.pyannote[536].start 5222.47221875
transcript.pyannote[536].end 5224.24409375
transcript.pyannote[537].speaker SPEAKER_42
transcript.pyannote[537].start 5224.93596875
transcript.pyannote[537].end 5230.50471875
transcript.pyannote[538].speaker SPEAKER_42
transcript.pyannote[538].start 5230.90971875
transcript.pyannote[538].end 5237.77784375
transcript.pyannote[539].speaker SPEAKER_42
transcript.pyannote[539].start 5238.13221875
transcript.pyannote[539].end 5246.35034375
transcript.pyannote[540].speaker SPEAKER_29
transcript.pyannote[540].start 5239.87034375
transcript.pyannote[540].end 5239.88721875
transcript.pyannote[541].speaker SPEAKER_24
transcript.pyannote[541].start 5239.88721875
transcript.pyannote[541].end 5239.90409375
transcript.pyannote[542].speaker SPEAKER_29
transcript.pyannote[542].start 5239.90409375
transcript.pyannote[542].end 5240.07284375
transcript.pyannote[543].speaker SPEAKER_29
transcript.pyannote[543].start 5246.35034375
transcript.pyannote[543].end 5255.80034375
transcript.pyannote[544].speaker SPEAKER_42
transcript.pyannote[544].start 5256.35721875
transcript.pyannote[544].end 5262.38159375
transcript.pyannote[545].speaker SPEAKER_42
transcript.pyannote[545].start 5262.71909375
transcript.pyannote[545].end 5266.29659375
transcript.pyannote[546].speaker SPEAKER_42
transcript.pyannote[546].start 5267.42721875
transcript.pyannote[546].end 5273.08034375
transcript.pyannote[547].speaker SPEAKER_42
transcript.pyannote[547].start 5273.24909375
transcript.pyannote[547].end 5280.64034375
transcript.pyannote[548].speaker SPEAKER_24
transcript.pyannote[548].start 5280.64034375
transcript.pyannote[548].end 5280.96096875
transcript.pyannote[549].speaker SPEAKER_42
transcript.pyannote[549].start 5280.82596875
transcript.pyannote[549].end 5299.05096875
transcript.pyannote[550].speaker SPEAKER_42
transcript.pyannote[550].start 5299.32096875
transcript.pyannote[550].end 5302.10534375
transcript.pyannote[551].speaker SPEAKER_29
transcript.pyannote[551].start 5303.53971875
transcript.pyannote[551].end 5315.04846875
transcript.pyannote[552].speaker SPEAKER_42
transcript.pyannote[552].start 5315.36909375
transcript.pyannote[552].end 5321.17409375
transcript.pyannote[553].speaker SPEAKER_29
transcript.pyannote[553].start 5321.17409375
transcript.pyannote[553].end 5342.50409375
transcript.pyannote[554].speaker SPEAKER_12
transcript.pyannote[554].start 5335.72034375
transcript.pyannote[554].end 5336.10846875
transcript.pyannote[555].speaker SPEAKER_42
transcript.pyannote[555].start 5341.86284375
transcript.pyannote[555].end 5345.64284375
transcript.pyannote[556].speaker SPEAKER_29
transcript.pyannote[556].start 5345.64284375
transcript.pyannote[556].end 5345.92971875
transcript.pyannote[557].speaker SPEAKER_42
transcript.pyannote[557].start 5345.65971875
transcript.pyannote[557].end 5351.46471875
transcript.pyannote[558].speaker SPEAKER_42
transcript.pyannote[558].start 5351.63346875
transcript.pyannote[558].end 5357.79284375
transcript.pyannote[559].speaker SPEAKER_42
transcript.pyannote[559].start 5358.09659375
transcript.pyannote[559].end 5363.68221875
transcript.pyannote[560].speaker SPEAKER_42
transcript.pyannote[560].start 5364.05346875
transcript.pyannote[560].end 5364.74534375
transcript.pyannote[561].speaker SPEAKER_42
transcript.pyannote[561].start 5365.08284375
transcript.pyannote[561].end 5373.38534375
transcript.pyannote[562].speaker SPEAKER_42
transcript.pyannote[562].start 5373.52034375
transcript.pyannote[562].end 5386.66596875
transcript.pyannote[563].speaker SPEAKER_42
transcript.pyannote[563].start 5387.13846875
transcript.pyannote[563].end 5401.14471875
transcript.pyannote[564].speaker SPEAKER_25
transcript.pyannote[564].start 5401.14471875
transcript.pyannote[564].end 5401.17846875
transcript.pyannote[565].speaker SPEAKER_42
transcript.pyannote[565].start 5401.17846875
transcript.pyannote[565].end 5401.66784375
transcript.pyannote[566].speaker SPEAKER_42
transcript.pyannote[566].start 5402.22471875
transcript.pyannote[566].end 5404.87409375
transcript.pyannote[567].speaker SPEAKER_25
transcript.pyannote[567].start 5404.87409375
transcript.pyannote[567].end 5405.00909375
transcript.pyannote[568].speaker SPEAKER_42
transcript.pyannote[568].start 5405.00909375
transcript.pyannote[568].end 5408.06346875
transcript.pyannote[569].speaker SPEAKER_42
transcript.pyannote[569].start 5408.75534375
transcript.pyannote[569].end 5414.50971875
transcript.pyannote[570].speaker SPEAKER_25
transcript.pyannote[570].start 5414.50971875
transcript.pyannote[570].end 5414.66159375
transcript.pyannote[571].speaker SPEAKER_42
transcript.pyannote[571].start 5414.66159375
transcript.pyannote[571].end 5421.49596875
transcript.pyannote[572].speaker SPEAKER_42
transcript.pyannote[572].start 5421.68159375
transcript.pyannote[572].end 5424.58409375
transcript.pyannote[573].speaker SPEAKER_25
transcript.pyannote[573].start 5424.39846875
transcript.pyannote[573].end 5424.56721875
transcript.pyannote[574].speaker SPEAKER_25
transcript.pyannote[574].start 5424.58409375
transcript.pyannote[574].end 5424.88784375
transcript.pyannote[575].speaker SPEAKER_42
transcript.pyannote[575].start 5424.88784375
transcript.pyannote[575].end 5435.36721875
transcript.pyannote[576].speaker SPEAKER_42
transcript.pyannote[576].start 5435.50221875
transcript.pyannote[576].end 5439.04596875
transcript.pyannote[577].speaker SPEAKER_42
transcript.pyannote[577].start 5439.51846875
transcript.pyannote[577].end 5454.97596875
transcript.pyannote[578].speaker SPEAKER_29
transcript.pyannote[578].start 5452.54596875
transcript.pyannote[578].end 5452.84971875
transcript.pyannote[579].speaker SPEAKER_24
transcript.pyannote[579].start 5452.84971875
transcript.pyannote[579].end 5452.88346875
transcript.pyannote[580].speaker SPEAKER_29
transcript.pyannote[580].start 5452.88346875
transcript.pyannote[580].end 5452.96784375
transcript.pyannote[581].speaker SPEAKER_29
transcript.pyannote[581].start 5454.97596875
transcript.pyannote[581].end 5474.58471875
transcript.pyannote[582].speaker SPEAKER_42
transcript.pyannote[582].start 5474.78721875
transcript.pyannote[582].end 5481.77346875
transcript.pyannote[583].speaker SPEAKER_24
transcript.pyannote[583].start 5481.77346875
transcript.pyannote[583].end 5481.97596875
transcript.pyannote[584].speaker SPEAKER_42
transcript.pyannote[584].start 5481.90846875
transcript.pyannote[584].end 5506.12409375
transcript.pyannote[585].speaker SPEAKER_29
transcript.pyannote[585].start 5505.60096875
transcript.pyannote[585].end 5505.73596875
transcript.pyannote[586].speaker SPEAKER_29
transcript.pyannote[586].start 5506.12409375
transcript.pyannote[586].end 5506.14096875
transcript.pyannote[587].speaker SPEAKER_42
transcript.pyannote[587].start 5506.14096875
transcript.pyannote[587].end 5506.20846875
transcript.pyannote[588].speaker SPEAKER_29
transcript.pyannote[588].start 5506.20846875
transcript.pyannote[588].end 5520.02909375
transcript.pyannote[589].speaker SPEAKER_42
transcript.pyannote[589].start 5520.02909375
transcript.pyannote[589].end 5534.06909375
transcript.pyannote[590].speaker SPEAKER_42
transcript.pyannote[590].start 5534.30534375
transcript.pyannote[590].end 5537.34284375
transcript.pyannote[591].speaker SPEAKER_25
transcript.pyannote[591].start 5537.34284375
transcript.pyannote[591].end 5537.71409375
transcript.pyannote[592].speaker SPEAKER_42
transcript.pyannote[592].start 5537.71409375
transcript.pyannote[592].end 5542.27034375
transcript.pyannote[593].speaker SPEAKER_42
transcript.pyannote[593].start 5542.91159375
transcript.pyannote[593].end 5546.45534375
transcript.pyannote[594].speaker SPEAKER_42
transcript.pyannote[594].start 5546.92784375
transcript.pyannote[594].end 5557.12034375
transcript.pyannote[595].speaker SPEAKER_42
transcript.pyannote[595].start 5557.94721875
transcript.pyannote[595].end 5560.37721875
transcript.pyannote[596].speaker SPEAKER_42
transcript.pyannote[596].start 5560.51221875
transcript.pyannote[596].end 5561.65971875
transcript.pyannote[597].speaker SPEAKER_42
transcript.pyannote[597].start 5562.21659375
transcript.pyannote[597].end 5574.94034375
transcript.pyannote[598].speaker SPEAKER_24
transcript.pyannote[598].start 5574.94034375
transcript.pyannote[598].end 5575.09221875
transcript.pyannote[599].speaker SPEAKER_42
transcript.pyannote[599].start 5575.09221875
transcript.pyannote[599].end 5578.72034375
transcript.pyannote[600].speaker SPEAKER_24
transcript.pyannote[600].start 5578.72034375
transcript.pyannote[600].end 5578.83846875
transcript.pyannote[601].speaker SPEAKER_42
transcript.pyannote[601].start 5578.83846875
transcript.pyannote[601].end 5587.10721875
transcript.pyannote[602].speaker SPEAKER_29
transcript.pyannote[602].start 5585.20034375
transcript.pyannote[602].end 5604.03284375
transcript.pyannote[603].speaker SPEAKER_42
transcript.pyannote[603].start 5604.03284375
transcript.pyannote[603].end 5604.30284375
transcript.pyannote[604].speaker SPEAKER_29
transcript.pyannote[604].start 5604.30284375
transcript.pyannote[604].end 5604.31971875
transcript.pyannote[605].speaker SPEAKER_42
transcript.pyannote[605].start 5604.74159375
transcript.pyannote[605].end 5634.61034375
transcript.pyannote[606].speaker SPEAKER_24
transcript.pyannote[606].start 5614.88346875
transcript.pyannote[606].end 5614.91721875
transcript.pyannote[607].speaker SPEAKER_24
transcript.pyannote[607].start 5614.93409375
transcript.pyannote[607].end 5615.03534375
transcript.pyannote[608].speaker SPEAKER_29
transcript.pyannote[608].start 5634.64409375
transcript.pyannote[608].end 5635.97721875
transcript.pyannote[609].speaker SPEAKER_13
transcript.pyannote[609].start 5642.79471875
transcript.pyannote[609].end 5646.22034375
transcript.pyannote[610].speaker SPEAKER_18
transcript.pyannote[610].start 5658.01596875
transcript.pyannote[610].end 5659.85534375
transcript.pyannote[611].speaker SPEAKER_18
transcript.pyannote[611].start 5660.51346875
transcript.pyannote[611].end 5660.54721875
transcript.pyannote[612].speaker SPEAKER_13
transcript.pyannote[612].start 5660.54721875
transcript.pyannote[612].end 5661.49221875
transcript.pyannote[613].speaker SPEAKER_18
transcript.pyannote[613].start 5662.04909375
transcript.pyannote[613].end 5662.06596875
transcript.pyannote[614].speaker SPEAKER_13
transcript.pyannote[614].start 5662.06596875
transcript.pyannote[614].end 5662.55534375
transcript.pyannote[615].speaker SPEAKER_18
transcript.pyannote[615].start 5662.55534375
transcript.pyannote[615].end 5662.58909375
transcript.pyannote[616].speaker SPEAKER_13
transcript.pyannote[616].start 5662.58909375
transcript.pyannote[616].end 5662.60596875
transcript.pyannote[617].speaker SPEAKER_18
transcript.pyannote[617].start 5663.12909375
transcript.pyannote[617].end 5663.80409375
transcript.pyannote[618].speaker SPEAKER_18
transcript.pyannote[618].start 5664.09096875
transcript.pyannote[618].end 5666.09909375
transcript.pyannote[619].speaker SPEAKER_18
transcript.pyannote[619].start 5666.36909375
transcript.pyannote[619].end 5666.72346875
transcript.pyannote[620].speaker SPEAKER_18
transcript.pyannote[620].start 5672.35971875
transcript.pyannote[620].end 5673.10221875
transcript.pyannote[621].speaker SPEAKER_18
transcript.pyannote[621].start 5674.72221875
transcript.pyannote[621].end 5676.40971875
transcript.pyannote[622].speaker SPEAKER_18
transcript.pyannote[622].start 5676.71346875
transcript.pyannote[622].end 5678.18159375
transcript.pyannote[623].speaker SPEAKER_18
transcript.pyannote[623].start 5679.78471875
transcript.pyannote[623].end 5680.62846875
transcript.pyannote[624].speaker SPEAKER_18
transcript.pyannote[624].start 5680.71284375
transcript.pyannote[624].end 5681.62409375
transcript.pyannote[625].speaker SPEAKER_18
transcript.pyannote[625].start 5681.72534375
transcript.pyannote[625].end 5683.51409375
transcript.pyannote[626].speaker SPEAKER_18
transcript.pyannote[626].start 5684.72909375
transcript.pyannote[626].end 5686.09596875
transcript.pyannote[627].speaker SPEAKER_18
transcript.pyannote[627].start 5686.72034375
transcript.pyannote[627].end 5687.26034375
transcript.pyannote[628].speaker SPEAKER_18
transcript.pyannote[628].start 5687.83409375
transcript.pyannote[628].end 5688.20534375
transcript.pyannote[629].speaker SPEAKER_18
transcript.pyannote[629].start 5689.21784375
transcript.pyannote[629].end 5692.28909375
transcript.pyannote[630].speaker SPEAKER_18
transcript.pyannote[630].start 5692.42409375
transcript.pyannote[630].end 5694.46596875
transcript.pyannote[631].speaker SPEAKER_18
transcript.pyannote[631].start 5696.05221875
transcript.pyannote[631].end 5697.50346875
transcript.pyannote[632].speaker SPEAKER_18
transcript.pyannote[632].start 5698.33034375
transcript.pyannote[632].end 5699.05596875
transcript.pyannote[633].speaker SPEAKER_18
transcript.pyannote[633].start 5699.25846875
transcript.pyannote[633].end 5700.27096875
transcript.pyannote[634].speaker SPEAKER_18
transcript.pyannote[634].start 5701.26659375
transcript.pyannote[634].end 5701.90784375
transcript.pyannote[635].speaker SPEAKER_18
transcript.pyannote[635].start 5702.41409375
transcript.pyannote[635].end 5703.59534375
transcript.pyannote[636].speaker SPEAKER_18
transcript.pyannote[636].start 5704.10159375
transcript.pyannote[636].end 5706.29534375
transcript.pyannote[637].speaker SPEAKER_18
transcript.pyannote[637].start 5708.05034375
transcript.pyannote[637].end 5708.82659375
transcript.pyannote[638].speaker SPEAKER_18
transcript.pyannote[638].start 5709.26534375
transcript.pyannote[638].end 5710.24409375
transcript.pyannote[639].speaker SPEAKER_18
transcript.pyannote[639].start 5711.02034375
transcript.pyannote[639].end 5713.28159375
transcript.pyannote[640].speaker SPEAKER_18
transcript.pyannote[640].start 5716.26846875
transcript.pyannote[640].end 5718.02346875
transcript.pyannote[641].speaker SPEAKER_24
transcript.pyannote[641].start 5718.25971875
transcript.pyannote[641].end 5718.41159375
transcript.pyannote[642].speaker SPEAKER_18
transcript.pyannote[642].start 5718.61409375
transcript.pyannote[642].end 5720.20034375
transcript.pyannote[643].speaker SPEAKER_18
transcript.pyannote[643].start 5721.22971875
transcript.pyannote[643].end 5723.18721875
transcript.pyannote[644].speaker SPEAKER_18
transcript.pyannote[644].start 5723.77784375
transcript.pyannote[644].end 5724.58784375
transcript.pyannote[645].speaker SPEAKER_18
transcript.pyannote[645].start 5725.21221875
transcript.pyannote[645].end 5728.36784375
transcript.pyannote[646].speaker SPEAKER_18
transcript.pyannote[646].start 5729.43096875
transcript.pyannote[646].end 5731.92846875
transcript.pyannote[647].speaker SPEAKER_18
transcript.pyannote[647].start 5732.14784375
transcript.pyannote[647].end 5733.46409375
transcript.pyannote[648].speaker SPEAKER_18
transcript.pyannote[648].start 5734.47659375
transcript.pyannote[648].end 5736.82221875
transcript.pyannote[649].speaker SPEAKER_18
transcript.pyannote[649].start 5742.99846875
transcript.pyannote[649].end 5744.65221875
transcript.pyannote[650].speaker SPEAKER_18
transcript.pyannote[650].start 5744.85471875
transcript.pyannote[650].end 5745.59721875
transcript.pyannote[651].speaker SPEAKER_18
transcript.pyannote[651].start 5747.14971875
transcript.pyannote[651].end 5747.94284375
transcript.pyannote[652].speaker SPEAKER_18
transcript.pyannote[652].start 5749.37721875
transcript.pyannote[652].end 5752.36409375
transcript.pyannote[653].speaker SPEAKER_18
transcript.pyannote[653].start 5753.02221875
transcript.pyannote[653].end 5754.35534375
transcript.pyannote[654].speaker SPEAKER_18
transcript.pyannote[654].start 5756.32971875
transcript.pyannote[654].end 5757.39284375
transcript.pyannote[655].speaker SPEAKER_18
transcript.pyannote[655].start 5759.19846875
transcript.pyannote[655].end 5761.74659375
transcript.pyannote[656].speaker SPEAKER_18
transcript.pyannote[656].start 5763.04596875
transcript.pyannote[656].end 5764.78409375
transcript.pyannote[657].speaker SPEAKER_18
transcript.pyannote[657].start 5766.37034375
transcript.pyannote[657].end 5767.99034375
transcript.pyannote[658].speaker SPEAKER_18
transcript.pyannote[658].start 5769.64409375
transcript.pyannote[658].end 5770.38659375
transcript.pyannote[659].speaker SPEAKER_18
transcript.pyannote[659].start 5771.33159375
transcript.pyannote[659].end 5773.86284375
transcript.pyannote[660].speaker SPEAKER_18
transcript.pyannote[660].start 5775.41534375
transcript.pyannote[660].end 5775.76971875
transcript.pyannote[661].speaker SPEAKER_29
transcript.pyannote[661].start 5776.91721875
transcript.pyannote[661].end 5782.82346875
transcript.pyannote[662].speaker SPEAKER_29
transcript.pyannote[662].start 5783.05971875
transcript.pyannote[662].end 5785.20284375
transcript.pyannote[663].speaker SPEAKER_29
transcript.pyannote[663].start 5785.64159375
transcript.pyannote[663].end 5826.71534375
transcript.pyannote[664].speaker SPEAKER_29
transcript.pyannote[664].start 5827.03596875
transcript.pyannote[664].end 5856.04409375
transcript.pyannote[665].speaker SPEAKER_29
transcript.pyannote[665].start 5857.20846875
transcript.pyannote[665].end 5857.24221875
transcript.pyannote[666].speaker SPEAKER_18
transcript.pyannote[666].start 5857.24221875
transcript.pyannote[666].end 5858.28846875
transcript.pyannote[667].speaker SPEAKER_18
transcript.pyannote[667].start 5859.65534375
transcript.pyannote[667].end 5862.28784375
transcript.pyannote[668].speaker SPEAKER_18
transcript.pyannote[668].start 5863.03034375
transcript.pyannote[668].end 5863.36784375
transcript.pyannote[669].speaker SPEAKER_18
transcript.pyannote[669].start 5863.82346875
transcript.pyannote[669].end 5864.61659375
transcript.pyannote[670].speaker SPEAKER_18
transcript.pyannote[670].start 5865.05534375
transcript.pyannote[670].end 5867.19846875
transcript.pyannote[671].speaker SPEAKER_18
transcript.pyannote[671].start 5868.66659375
transcript.pyannote[671].end 5869.24034375
transcript.pyannote[672].speaker SPEAKER_18
transcript.pyannote[672].start 5869.29096875
transcript.pyannote[672].end 5869.34159375
transcript.pyannote[673].speaker SPEAKER_18
transcript.pyannote[673].start 5869.35846875
transcript.pyannote[673].end 5871.18096875
transcript.pyannote[674].speaker SPEAKER_18
transcript.pyannote[674].start 5872.78409375
transcript.pyannote[674].end 5874.84284375
transcript.pyannote[675].speaker SPEAKER_18
transcript.pyannote[675].start 5875.78784375
transcript.pyannote[675].end 5878.67346875
transcript.pyannote[676].speaker SPEAKER_18
transcript.pyannote[676].start 5879.17971875
transcript.pyannote[676].end 5880.39471875
transcript.pyannote[677].speaker SPEAKER_18
transcript.pyannote[677].start 5880.85034375
transcript.pyannote[677].end 5882.01471875
transcript.pyannote[678].speaker SPEAKER_18
transcript.pyannote[678].start 5883.39846875
transcript.pyannote[678].end 5885.03534375
transcript.pyannote[679].speaker SPEAKER_18
transcript.pyannote[679].start 5885.67659375
transcript.pyannote[679].end 5886.92534375
transcript.pyannote[680].speaker SPEAKER_18
transcript.pyannote[680].start 5887.97159375
transcript.pyannote[680].end 5889.06846875
transcript.pyannote[681].speaker SPEAKER_18
transcript.pyannote[681].start 5889.54096875
transcript.pyannote[681].end 5890.48596875
transcript.pyannote[682].speaker SPEAKER_18
transcript.pyannote[682].start 5891.36346875
transcript.pyannote[682].end 5892.59534375
transcript.pyannote[683].speaker SPEAKER_18
transcript.pyannote[683].start 5892.96659375
transcript.pyannote[683].end 5895.24471875
transcript.pyannote[684].speaker SPEAKER_18
transcript.pyannote[684].start 5895.83534375
transcript.pyannote[684].end 5897.99534375
transcript.pyannote[685].speaker SPEAKER_18
transcript.pyannote[685].start 5898.92346875
transcript.pyannote[685].end 5902.02846875
transcript.pyannote[686].speaker SPEAKER_18
transcript.pyannote[686].start 5903.05784375
transcript.pyannote[686].end 5904.98159375
transcript.pyannote[687].speaker SPEAKER_18
transcript.pyannote[687].start 5905.50471875
transcript.pyannote[687].end 5911.10721875
transcript.pyannote[688].speaker SPEAKER_18
transcript.pyannote[688].start 5911.93409375
transcript.pyannote[688].end 5915.56221875
transcript.pyannote[689].speaker SPEAKER_18
transcript.pyannote[689].start 5915.96721875
transcript.pyannote[689].end 5920.27034375
transcript.pyannote[690].speaker SPEAKER_18
transcript.pyannote[690].start 5920.97909375
transcript.pyannote[690].end 5922.22784375
transcript.pyannote[691].speaker SPEAKER_18
transcript.pyannote[691].start 5922.88596875
transcript.pyannote[691].end 5924.21909375
transcript.pyannote[692].speaker SPEAKER_18
transcript.pyannote[692].start 5925.07971875
transcript.pyannote[692].end 5926.59846875
transcript.pyannote[693].speaker SPEAKER_18
transcript.pyannote[693].start 5926.73346875
transcript.pyannote[693].end 5928.13409375
transcript.pyannote[694].speaker SPEAKER_18
transcript.pyannote[694].start 5928.96096875
transcript.pyannote[694].end 5930.02409375
transcript.pyannote[695].speaker SPEAKER_18
transcript.pyannote[695].start 5930.56409375
transcript.pyannote[695].end 5932.70721875
transcript.pyannote[696].speaker SPEAKER_18
transcript.pyannote[696].start 5932.84221875
transcript.pyannote[696].end 5934.88409375
transcript.pyannote[697].speaker SPEAKER_18
transcript.pyannote[697].start 5935.15409375
transcript.pyannote[697].end 5936.21721875
transcript.pyannote[698].speaker SPEAKER_18
transcript.pyannote[698].start 5936.68971875
transcript.pyannote[698].end 5937.38159375
transcript.pyannote[699].speaker SPEAKER_18
transcript.pyannote[699].start 5937.83721875
transcript.pyannote[699].end 5938.90034375
transcript.pyannote[700].speaker SPEAKER_18
transcript.pyannote[700].start 5939.35596875
transcript.pyannote[700].end 5943.35534375
transcript.pyannote[701].speaker SPEAKER_18
transcript.pyannote[701].start 5945.19471875
transcript.pyannote[701].end 5948.09721875
transcript.pyannote[702].speaker SPEAKER_29
transcript.pyannote[702].start 5945.26221875
transcript.pyannote[702].end 5946.79784375
transcript.pyannote[703].speaker SPEAKER_18
transcript.pyannote[703].start 5949.39659375
transcript.pyannote[703].end 5950.35846875
transcript.pyannote[704].speaker SPEAKER_18
transcript.pyannote[704].start 5950.84784375
transcript.pyannote[704].end 5951.64096875
transcript.pyannote[705].speaker SPEAKER_18
transcript.pyannote[705].start 5952.38346875
transcript.pyannote[705].end 5954.35784375
transcript.pyannote[706].speaker SPEAKER_18
transcript.pyannote[706].start 5955.25221875
transcript.pyannote[706].end 5956.78784375
transcript.pyannote[707].speaker SPEAKER_18
transcript.pyannote[707].start 5957.49659375
transcript.pyannote[707].end 5958.74534375
transcript.pyannote[708].speaker SPEAKER_18
transcript.pyannote[708].start 5959.62284375
transcript.pyannote[708].end 5966.13659375
transcript.pyannote[709].speaker SPEAKER_18
transcript.pyannote[709].start 5967.16596875
transcript.pyannote[709].end 5968.60034375
transcript.pyannote[710].speaker SPEAKER_18
transcript.pyannote[710].start 5969.98409375
transcript.pyannote[710].end 5971.80659375
transcript.pyannote[711].speaker SPEAKER_18
transcript.pyannote[711].start 5972.43096875
transcript.pyannote[711].end 5972.97096875
transcript.pyannote[712].speaker SPEAKER_18
transcript.pyannote[712].start 5973.74721875
transcript.pyannote[712].end 5975.78909375
transcript.pyannote[713].speaker SPEAKER_18
transcript.pyannote[713].start 5978.21909375
transcript.pyannote[713].end 5978.72534375
transcript.pyannote[714].speaker SPEAKER_18
transcript.pyannote[714].start 5979.01221875
transcript.pyannote[714].end 5980.95284375
transcript.pyannote[715].speaker SPEAKER_18
transcript.pyannote[715].start 5981.96534375
transcript.pyannote[715].end 5983.24784375
transcript.pyannote[716].speaker SPEAKER_18
transcript.pyannote[716].start 5984.86784375
transcript.pyannote[716].end 5987.16284375
transcript.pyannote[717].speaker SPEAKER_18
transcript.pyannote[717].start 5989.06971875
transcript.pyannote[717].end 5989.35659375
transcript.pyannote[718].speaker SPEAKER_18
transcript.pyannote[718].start 5989.71096875
transcript.pyannote[718].end 5990.55471875
transcript.pyannote[719].speaker SPEAKER_18
transcript.pyannote[719].start 5992.09034375
transcript.pyannote[719].end 5992.30971875
transcript.pyannote[720].speaker SPEAKER_18
transcript.pyannote[720].start 5994.48659375
transcript.pyannote[720].end 5996.93346875
transcript.pyannote[721].speaker SPEAKER_18
transcript.pyannote[721].start 5997.79409375
transcript.pyannote[721].end 5998.99221875
transcript.pyannote[722].speaker SPEAKER_18
transcript.pyannote[722].start 6000.17346875
transcript.pyannote[722].end 6002.33346875
transcript.pyannote[723].speaker SPEAKER_18
transcript.pyannote[723].start 6003.59909375
transcript.pyannote[723].end 6003.83534375
transcript.pyannote[724].speaker SPEAKER_18
transcript.pyannote[724].start 6004.67909375
transcript.pyannote[724].end 6005.33721875
transcript.pyannote[725].speaker SPEAKER_18
transcript.pyannote[725].start 6005.92784375
transcript.pyannote[725].end 6006.73784375
transcript.pyannote[726].speaker SPEAKER_18
transcript.pyannote[726].start 6007.44659375
transcript.pyannote[726].end 6008.61096875
transcript.pyannote[727].speaker SPEAKER_18
transcript.pyannote[727].start 6009.53909375
transcript.pyannote[727].end 6012.30659375
transcript.pyannote[728].speaker SPEAKER_18
transcript.pyannote[728].start 6013.53846875
transcript.pyannote[728].end 6015.47909375
transcript.pyannote[729].speaker SPEAKER_18
transcript.pyannote[729].start 6017.36909375
transcript.pyannote[729].end 6018.38159375
transcript.pyannote[730].speaker SPEAKER_18
transcript.pyannote[730].start 6018.63471875
transcript.pyannote[730].end 6020.11971875
transcript.pyannote[731].speaker SPEAKER_18
transcript.pyannote[731].start 6020.52471875
transcript.pyannote[731].end 6022.43159375
transcript.pyannote[732].speaker SPEAKER_18
transcript.pyannote[732].start 6022.81971875
transcript.pyannote[732].end 6025.78971875
transcript.pyannote[733].speaker SPEAKER_18
transcript.pyannote[733].start 6026.93721875
transcript.pyannote[733].end 6027.93284375
transcript.pyannote[734].speaker SPEAKER_18
transcript.pyannote[734].start 6028.25346875
transcript.pyannote[734].end 6029.80596875
transcript.pyannote[735].speaker SPEAKER_18
transcript.pyannote[735].start 6030.19409375
transcript.pyannote[735].end 6031.10534375
transcript.pyannote[736].speaker SPEAKER_18
transcript.pyannote[736].start 6031.44284375
transcript.pyannote[736].end 6032.91096875
transcript.pyannote[737].speaker SPEAKER_18
transcript.pyannote[737].start 6035.67846875
transcript.pyannote[737].end 6036.31971875
transcript.pyannote[738].speaker SPEAKER_18
transcript.pyannote[738].start 6036.70784375
transcript.pyannote[738].end 6037.33221875
transcript.pyannote[739].speaker SPEAKER_18
transcript.pyannote[739].start 6037.38284375
transcript.pyannote[739].end 6040.96034375
transcript.pyannote[740].speaker SPEAKER_18
transcript.pyannote[740].start 6043.18784375
transcript.pyannote[740].end 6044.72346875
transcript.pyannote[741].speaker SPEAKER_18
transcript.pyannote[741].start 6045.21284375
transcript.pyannote[741].end 6046.66409375
transcript.pyannote[742].speaker SPEAKER_18
transcript.pyannote[742].start 6048.67221875
transcript.pyannote[742].end 6051.92909375
transcript.pyannote[743].speaker SPEAKER_18
transcript.pyannote[743].start 6054.51096875
transcript.pyannote[743].end 6054.96659375
transcript.pyannote[744].speaker SPEAKER_29
transcript.pyannote[744].start 6054.96659375
transcript.pyannote[744].end 6055.54034375
transcript.pyannote[745].speaker SPEAKER_29
transcript.pyannote[745].start 6056.04659375
transcript.pyannote[745].end 6059.18534375
transcript.pyannote[746].speaker SPEAKER_29
transcript.pyannote[746].start 6059.53971875
transcript.pyannote[746].end 6061.59846875
transcript.pyannote[747].speaker SPEAKER_18
transcript.pyannote[747].start 6060.88971875
transcript.pyannote[747].end 6062.45909375
transcript.pyannote[748].speaker SPEAKER_29
transcript.pyannote[748].start 6063.15096875
transcript.pyannote[748].end 6064.75409375
transcript.pyannote[749].speaker SPEAKER_18
transcript.pyannote[749].start 6064.75409375
transcript.pyannote[749].end 6065.05784375
transcript.pyannote[750].speaker SPEAKER_18
transcript.pyannote[750].start 6066.08721875
transcript.pyannote[750].end 6068.06159375
transcript.pyannote[751].speaker SPEAKER_18
transcript.pyannote[751].start 6068.55096875
transcript.pyannote[751].end 6069.02346875
transcript.pyannote[752].speaker SPEAKER_18
transcript.pyannote[752].start 6070.10346875
transcript.pyannote[752].end 6071.87534375
transcript.pyannote[753].speaker SPEAKER_18
transcript.pyannote[753].start 6072.92159375
transcript.pyannote[753].end 6075.25034375
transcript.pyannote[754].speaker SPEAKER_18
transcript.pyannote[754].start 6077.02221875
transcript.pyannote[754].end 6077.54534375
transcript.pyannote[755].speaker SPEAKER_18
transcript.pyannote[755].start 6078.70971875
transcript.pyannote[755].end 6081.02159375
transcript.pyannote[756].speaker SPEAKER_18
transcript.pyannote[756].start 6081.94971875
transcript.pyannote[756].end 6082.87784375
transcript.pyannote[757].speaker SPEAKER_18
transcript.pyannote[757].start 6084.61596875
transcript.pyannote[757].end 6085.22346875
transcript.pyannote[758].speaker SPEAKER_18
transcript.pyannote[758].start 6085.76346875
transcript.pyannote[758].end 6087.80534375
transcript.pyannote[759].speaker SPEAKER_29
transcript.pyannote[759].start 6087.80534375
transcript.pyannote[759].end 6089.72909375
transcript.pyannote[760].speaker SPEAKER_18
transcript.pyannote[760].start 6089.72909375
transcript.pyannote[760].end 6089.79659375
transcript.pyannote[761].speaker SPEAKER_29
transcript.pyannote[761].start 6089.79659375
transcript.pyannote[761].end 6091.95659375
transcript.pyannote[762].speaker SPEAKER_18
transcript.pyannote[762].start 6089.84721875
transcript.pyannote[762].end 6094.85909375
transcript.pyannote[763].speaker SPEAKER_18
transcript.pyannote[763].start 6095.63534375
transcript.pyannote[763].end 6096.95159375
transcript.pyannote[764].speaker SPEAKER_18
transcript.pyannote[764].start 6097.49159375
transcript.pyannote[764].end 6101.94659375
transcript.pyannote[765].speaker SPEAKER_26
transcript.pyannote[765].start 6102.31784375
transcript.pyannote[765].end 6102.73971875
transcript.pyannote[766].speaker SPEAKER_18
transcript.pyannote[766].start 6102.68909375
transcript.pyannote[766].end 6103.97159375
transcript.pyannote[767].speaker SPEAKER_29
transcript.pyannote[767].start 6103.97159375
transcript.pyannote[767].end 6105.35534375
transcript.pyannote[768].speaker SPEAKER_29
transcript.pyannote[768].start 6106.38471875
transcript.pyannote[768].end 6122.70284375
transcript.pyannote[769].speaker SPEAKER_18
transcript.pyannote[769].start 6119.85096875
transcript.pyannote[769].end 6122.77034375
transcript.pyannote[770].speaker SPEAKER_29
transcript.pyannote[770].start 6122.77034375
transcript.pyannote[770].end 6122.92221875
transcript.pyannote[771].speaker SPEAKER_18
transcript.pyannote[771].start 6122.92221875
transcript.pyannote[771].end 6123.14159375
transcript.pyannote[772].speaker SPEAKER_18
transcript.pyannote[772].start 6124.59284375
transcript.pyannote[772].end 6126.33096875
transcript.pyannote[773].speaker SPEAKER_29
transcript.pyannote[773].start 6125.72346875
transcript.pyannote[773].end 6126.09471875
transcript.pyannote[774].speaker SPEAKER_29
transcript.pyannote[774].start 6126.33096875
transcript.pyannote[774].end 6127.12409375
transcript.pyannote[775].speaker SPEAKER_18
transcript.pyannote[775].start 6127.12409375
transcript.pyannote[775].end 6127.61346875
transcript.pyannote[776].speaker SPEAKER_29
transcript.pyannote[776].start 6127.15784375
transcript.pyannote[776].end 6127.51221875
transcript.pyannote[777].speaker SPEAKER_29
transcript.pyannote[777].start 6127.61346875
transcript.pyannote[777].end 6127.68096875
transcript.pyannote[778].speaker SPEAKER_18
transcript.pyannote[778].start 6127.68096875
transcript.pyannote[778].end 6134.31284375
transcript.pyannote[779].speaker SPEAKER_29
transcript.pyannote[779].start 6127.78221875
transcript.pyannote[779].end 6129.85784375
transcript.pyannote[780].speaker SPEAKER_25
transcript.pyannote[780].start 6129.85784375
transcript.pyannote[780].end 6129.87471875
transcript.pyannote[781].speaker SPEAKER_18
transcript.pyannote[781].start 6134.75159375
transcript.pyannote[781].end 6136.10159375
transcript.pyannote[782].speaker SPEAKER_18
transcript.pyannote[782].start 6136.72596875
transcript.pyannote[782].end 6138.14346875
transcript.pyannote[783].speaker SPEAKER_18
transcript.pyannote[783].start 6138.56534375
transcript.pyannote[783].end 6141.01221875
transcript.pyannote[784].speaker SPEAKER_18
transcript.pyannote[784].start 6141.73784375
transcript.pyannote[784].end 6145.78784375
transcript.pyannote[785].speaker SPEAKER_18
transcript.pyannote[785].start 6148.65659375
transcript.pyannote[785].end 6150.41159375
transcript.pyannote[786].speaker SPEAKER_18
transcript.pyannote[786].start 6151.03596875
transcript.pyannote[786].end 6152.35221875
transcript.pyannote[787].speaker SPEAKER_18
transcript.pyannote[787].start 6152.97659375
transcript.pyannote[787].end 6155.96346875
transcript.pyannote[788].speaker SPEAKER_29
transcript.pyannote[788].start 6153.14534375
transcript.pyannote[788].end 6153.88784375
transcript.pyannote[789].speaker SPEAKER_29
transcript.pyannote[789].start 6155.52471875
transcript.pyannote[789].end 6157.71846875
transcript.pyannote[790].speaker SPEAKER_29
transcript.pyannote[790].start 6158.39346875
transcript.pyannote[790].end 6161.66721875
transcript.pyannote[791].speaker SPEAKER_29
transcript.pyannote[791].start 6161.97096875
transcript.pyannote[791].end 6162.03846875
transcript.pyannote[792].speaker SPEAKER_18
transcript.pyannote[792].start 6162.03846875
transcript.pyannote[792].end 6163.65846875
transcript.pyannote[793].speaker SPEAKER_18
transcript.pyannote[793].start 6165.70034375
transcript.pyannote[793].end 6167.52284375
transcript.pyannote[794].speaker SPEAKER_18
transcript.pyannote[794].start 6168.31596875
transcript.pyannote[794].end 6169.15971875
transcript.pyannote[795].speaker SPEAKER_18
transcript.pyannote[795].start 6170.45909375
transcript.pyannote[795].end 6172.63596875
transcript.pyannote[796].speaker SPEAKER_18
transcript.pyannote[796].start 6173.22659375
transcript.pyannote[796].end 6175.74096875
transcript.pyannote[797].speaker SPEAKER_18
transcript.pyannote[797].start 6176.58471875
transcript.pyannote[797].end 6177.42846875
transcript.pyannote[798].speaker SPEAKER_18
transcript.pyannote[798].start 6177.95159375
transcript.pyannote[798].end 6180.34784375
transcript.pyannote[799].speaker SPEAKER_18
transcript.pyannote[799].start 6180.68534375
transcript.pyannote[799].end 6181.73159375
transcript.pyannote[800].speaker SPEAKER_18
transcript.pyannote[800].start 6183.33471875
transcript.pyannote[800].end 6184.31346875
transcript.pyannote[801].speaker SPEAKER_18
transcript.pyannote[801].start 6185.35971875
transcript.pyannote[801].end 6185.95034375
transcript.pyannote[802].speaker SPEAKER_18
transcript.pyannote[802].start 6187.23284375
transcript.pyannote[802].end 6187.80659375
transcript.pyannote[803].speaker SPEAKER_18
transcript.pyannote[803].start 6189.39284375
transcript.pyannote[803].end 6190.38846875
transcript.pyannote[804].speaker SPEAKER_18
transcript.pyannote[804].start 6192.32909375
transcript.pyannote[804].end 6193.12221875
transcript.pyannote[805].speaker SPEAKER_29
transcript.pyannote[805].start 6193.12221875
transcript.pyannote[805].end 6193.13909375
transcript.pyannote[806].speaker SPEAKER_29
transcript.pyannote[806].start 6195.46784375
transcript.pyannote[806].end 6199.02846875
transcript.pyannote[807].speaker SPEAKER_18
transcript.pyannote[807].start 6199.02846875
transcript.pyannote[807].end 6199.14659375
transcript.pyannote[808].speaker SPEAKER_29
transcript.pyannote[808].start 6199.14659375
transcript.pyannote[808].end 6199.16346875
transcript.pyannote[809].speaker SPEAKER_18
transcript.pyannote[809].start 6200.07471875
transcript.pyannote[809].end 6202.26846875
transcript.pyannote[810].speaker SPEAKER_18
transcript.pyannote[810].start 6202.60596875
transcript.pyannote[810].end 6205.57596875
transcript.pyannote[811].speaker SPEAKER_18
transcript.pyannote[811].start 6206.74034375
transcript.pyannote[811].end 6208.71471875
transcript.pyannote[812].speaker SPEAKER_18
transcript.pyannote[812].start 6209.92971875
transcript.pyannote[812].end 6210.48659375
transcript.pyannote[813].speaker SPEAKER_18
transcript.pyannote[813].start 6211.22909375
transcript.pyannote[813].end 6213.37221875
transcript.pyannote[814].speaker SPEAKER_18
transcript.pyannote[814].start 6214.06409375
transcript.pyannote[814].end 6216.79784375
transcript.pyannote[815].speaker SPEAKER_18
transcript.pyannote[815].start 6217.75971875
transcript.pyannote[815].end 6219.05909375
transcript.pyannote[816].speaker SPEAKER_18
transcript.pyannote[816].start 6219.78471875
transcript.pyannote[816].end 6222.26534375
transcript.pyannote[817].speaker SPEAKER_18
transcript.pyannote[817].start 6223.80096875
transcript.pyannote[817].end 6223.81784375
transcript.pyannote[818].speaker SPEAKER_29
transcript.pyannote[818].start 6223.81784375
transcript.pyannote[818].end 6227.90159375
transcript.pyannote[819].speaker SPEAKER_29
transcript.pyannote[819].start 6228.40784375
transcript.pyannote[819].end 6231.42846875
transcript.pyannote[820].speaker SPEAKER_18
transcript.pyannote[820].start 6231.42846875
transcript.pyannote[820].end 6232.49159375
transcript.pyannote[821].speaker SPEAKER_29
transcript.pyannote[821].start 6231.76596875
transcript.pyannote[821].end 6231.85034375
transcript.pyannote[822].speaker SPEAKER_18
transcript.pyannote[822].start 6234.06096875
transcript.pyannote[822].end 6250.02471875
transcript.pyannote[823].speaker SPEAKER_29
transcript.pyannote[823].start 6242.02596875
transcript.pyannote[823].end 6242.29596875
transcript.pyannote[824].speaker SPEAKER_24
transcript.pyannote[824].start 6242.29596875
transcript.pyannote[824].end 6242.38034375
transcript.pyannote[825].speaker SPEAKER_18
transcript.pyannote[825].start 6251.12159375
transcript.pyannote[825].end 6254.41221875
transcript.pyannote[826].speaker SPEAKER_18
transcript.pyannote[826].start 6254.83409375
transcript.pyannote[826].end 6259.81221875
transcript.pyannote[827].speaker SPEAKER_29
transcript.pyannote[827].start 6256.45409375
transcript.pyannote[827].end 6259.72784375
transcript.pyannote[828].speaker SPEAKER_29
transcript.pyannote[828].start 6260.45346875
transcript.pyannote[828].end 6263.03534375
transcript.pyannote[829].speaker SPEAKER_18
transcript.pyannote[829].start 6263.03534375
transcript.pyannote[829].end 6263.33909375
transcript.pyannote[830].speaker SPEAKER_18
transcript.pyannote[830].start 6264.75659375
transcript.pyannote[830].end 6266.73096875
transcript.pyannote[831].speaker SPEAKER_18
transcript.pyannote[831].start 6267.79409375
transcript.pyannote[831].end 6268.63784375
transcript.pyannote[832].speaker SPEAKER_18
transcript.pyannote[832].start 6269.31284375
transcript.pyannote[832].end 6270.35909375
transcript.pyannote[833].speaker SPEAKER_18
transcript.pyannote[833].start 6270.81471875
transcript.pyannote[833].end 6271.62471875
transcript.pyannote[834].speaker SPEAKER_18
transcript.pyannote[834].start 6271.99596875
transcript.pyannote[834].end 6274.20659375
transcript.pyannote[835].speaker SPEAKER_18
transcript.pyannote[835].start 6275.45534375
transcript.pyannote[835].end 6278.13846875
transcript.pyannote[836].speaker SPEAKER_00
transcript.pyannote[836].start 6275.77596875
transcript.pyannote[836].end 6277.27784375
transcript.pyannote[837].speaker SPEAKER_18
transcript.pyannote[837].start 6278.76284375
transcript.pyannote[837].end 6281.78346875
transcript.pyannote[838].speaker SPEAKER_18
transcript.pyannote[838].start 6282.39096875
transcript.pyannote[838].end 6282.74534375
transcript.pyannote[839].speaker SPEAKER_18
transcript.pyannote[839].start 6287.25096875
transcript.pyannote[839].end 6290.64284375
transcript.pyannote[840].speaker SPEAKER_18
transcript.pyannote[840].start 6291.14909375
transcript.pyannote[840].end 6291.50346875
transcript.pyannote[841].speaker SPEAKER_18
transcript.pyannote[841].start 6292.85346875
transcript.pyannote[841].end 6295.87409375
transcript.pyannote[842].speaker SPEAKER_18
transcript.pyannote[842].start 6296.65034375
transcript.pyannote[842].end 6296.93721875
transcript.pyannote[843].speaker SPEAKER_18
transcript.pyannote[843].start 6297.29159375
transcript.pyannote[843].end 6299.21534375
transcript.pyannote[844].speaker SPEAKER_18
transcript.pyannote[844].start 6299.70471875
transcript.pyannote[844].end 6302.03346875
transcript.pyannote[845].speaker SPEAKER_18
transcript.pyannote[845].start 6302.42159375
transcript.pyannote[845].end 6302.74221875
transcript.pyannote[846].speaker SPEAKER_18
transcript.pyannote[846].start 6303.92346875
transcript.pyannote[846].end 6308.32784375
transcript.pyannote[847].speaker SPEAKER_18
transcript.pyannote[847].start 6308.95221875
transcript.pyannote[847].end 6309.07034375
transcript.pyannote[848].speaker SPEAKER_18
transcript.pyannote[848].start 6309.67784375
transcript.pyannote[848].end 6312.14159375
transcript.pyannote[849].speaker SPEAKER_18
transcript.pyannote[849].start 6312.41159375
transcript.pyannote[849].end 6314.35221875
transcript.pyannote[850].speaker SPEAKER_18
transcript.pyannote[850].start 6314.87534375
transcript.pyannote[850].end 6316.47846875
transcript.pyannote[851].speaker SPEAKER_18
transcript.pyannote[851].start 6317.30534375
transcript.pyannote[851].end 6318.19971875
transcript.pyannote[852].speaker SPEAKER_18
transcript.pyannote[852].start 6318.70596875
transcript.pyannote[852].end 6328.25721875
transcript.pyannote[853].speaker SPEAKER_18
transcript.pyannote[853].start 6328.88159375
transcript.pyannote[853].end 6330.19784375
transcript.pyannote[854].speaker SPEAKER_29
transcript.pyannote[854].start 6329.53971875
transcript.pyannote[854].end 6330.41721875
transcript.pyannote[855].speaker SPEAKER_18
transcript.pyannote[855].start 6330.41721875
transcript.pyannote[855].end 6330.97409375
transcript.pyannote[856].speaker SPEAKER_29
transcript.pyannote[856].start 6330.97409375
transcript.pyannote[856].end 6331.02471875
transcript.pyannote[857].speaker SPEAKER_18
transcript.pyannote[857].start 6331.02471875
transcript.pyannote[857].end 6350.48159375
transcript.pyannote[858].speaker SPEAKER_29
transcript.pyannote[858].start 6332.05409375
transcript.pyannote[858].end 6332.89784375
transcript.pyannote[859].speaker SPEAKER_29
transcript.pyannote[859].start 6338.80409375
transcript.pyannote[859].end 6339.96846875
transcript.pyannote[860].speaker SPEAKER_00
transcript.pyannote[860].start 6339.96846875
transcript.pyannote[860].end 6340.03596875
transcript.pyannote[861].speaker SPEAKER_29
transcript.pyannote[861].start 6340.03596875
transcript.pyannote[861].end 6340.69409375
transcript.pyannote[862].speaker SPEAKER_00
transcript.pyannote[862].start 6340.69409375
transcript.pyannote[862].end 6340.74471875
transcript.pyannote[863].speaker SPEAKER_29
transcript.pyannote[863].start 6349.43534375
transcript.pyannote[863].end 6351.91596875
transcript.pyannote[864].speaker SPEAKER_18
transcript.pyannote[864].start 6350.93721875
transcript.pyannote[864].end 6353.55284375
transcript.pyannote[865].speaker SPEAKER_18
transcript.pyannote[865].start 6354.37971875
transcript.pyannote[865].end 6359.99909375
transcript.pyannote[866].speaker SPEAKER_18
transcript.pyannote[866].start 6360.45471875
transcript.pyannote[866].end 6362.78346875
transcript.pyannote[867].speaker SPEAKER_18
transcript.pyannote[867].start 6363.34034375
transcript.pyannote[867].end 6364.62284375
transcript.pyannote[868].speaker SPEAKER_18
transcript.pyannote[868].start 6365.60159375
transcript.pyannote[868].end 6366.20909375
transcript.pyannote[869].speaker SPEAKER_18
transcript.pyannote[869].start 6366.39471875
transcript.pyannote[869].end 6368.95971875
transcript.pyannote[870].speaker SPEAKER_18
transcript.pyannote[870].start 6369.97221875
transcript.pyannote[870].end 6372.68909375
transcript.pyannote[871].speaker SPEAKER_18
transcript.pyannote[871].start 6373.29659375
transcript.pyannote[871].end 6376.58721875
transcript.pyannote[872].speaker SPEAKER_18
transcript.pyannote[872].start 6377.38034375
transcript.pyannote[872].end 6377.68409375
transcript.pyannote[873].speaker SPEAKER_18
transcript.pyannote[873].start 6378.29159375
transcript.pyannote[873].end 6382.44284375
transcript.pyannote[874].speaker SPEAKER_18
transcript.pyannote[874].start 6383.21909375
transcript.pyannote[874].end 6387.96096875
transcript.pyannote[875].speaker SPEAKER_18
transcript.pyannote[875].start 6388.33221875
transcript.pyannote[875].end 6390.25596875
transcript.pyannote[876].speaker SPEAKER_18
transcript.pyannote[876].start 6390.94784375
transcript.pyannote[876].end 6392.66909375
transcript.pyannote[877].speaker SPEAKER_18
transcript.pyannote[877].start 6393.22596875
transcript.pyannote[877].end 6394.49159375
transcript.pyannote[878].speaker SPEAKER_18
transcript.pyannote[878].start 6395.48721875
transcript.pyannote[878].end 6398.03534375
transcript.pyannote[879].speaker SPEAKER_18
transcript.pyannote[879].start 6398.47409375
transcript.pyannote[879].end 6399.77346875
transcript.pyannote[880].speaker SPEAKER_18
transcript.pyannote[880].start 6400.11096875
transcript.pyannote[880].end 6401.35971875
transcript.pyannote[881].speaker SPEAKER_18
transcript.pyannote[881].start 6402.37221875
transcript.pyannote[881].end 6404.17784375
transcript.pyannote[882].speaker SPEAKER_18
transcript.pyannote[882].start 6404.51534375
transcript.pyannote[882].end 6406.59096875
transcript.pyannote[883].speaker SPEAKER_18
transcript.pyannote[883].start 6406.81034375
transcript.pyannote[883].end 6408.39659375
transcript.pyannote[884].speaker SPEAKER_18
transcript.pyannote[884].start 6410.72534375
transcript.pyannote[884].end 6411.72096875
transcript.pyannote[885].speaker SPEAKER_18
transcript.pyannote[885].start 6412.64909375
transcript.pyannote[885].end 6413.59409375
transcript.pyannote[886].speaker SPEAKER_03
transcript.pyannote[886].start 6427.11096875
transcript.pyannote[886].end 6428.42721875
transcript.pyannote[887].speaker SPEAKER_03
transcript.pyannote[887].start 6429.52409375
transcript.pyannote[887].end 6430.84034375
transcript.pyannote[888].speaker SPEAKER_03
transcript.pyannote[888].start 6436.61159375
transcript.pyannote[888].end 6440.83034375
transcript.pyannote[889].speaker SPEAKER_03
transcript.pyannote[889].start 6442.26471875
transcript.pyannote[889].end 6443.76659375
transcript.pyannote[890].speaker SPEAKER_18
transcript.pyannote[890].start 6443.76659375
transcript.pyannote[890].end 6443.78346875
transcript.pyannote[891].speaker SPEAKER_03
transcript.pyannote[891].start 6444.76221875
transcript.pyannote[891].end 6444.77909375
transcript.pyannote[892].speaker SPEAKER_18
transcript.pyannote[892].start 6444.77909375
transcript.pyannote[892].end 6446.61846875
transcript.pyannote[893].speaker SPEAKER_18
transcript.pyannote[893].start 6448.45784375
transcript.pyannote[893].end 6449.45346875
transcript.pyannote[894].speaker SPEAKER_18
transcript.pyannote[894].start 6449.79096875
transcript.pyannote[894].end 6451.29284375
transcript.pyannote[895].speaker SPEAKER_18
transcript.pyannote[895].start 6452.17034375
transcript.pyannote[895].end 6453.41909375
transcript.pyannote[896].speaker SPEAKER_18
transcript.pyannote[896].start 6460.43909375
transcript.pyannote[896].end 6462.16034375
transcript.pyannote[897].speaker SPEAKER_18
transcript.pyannote[897].start 6462.93659375
transcript.pyannote[897].end 6464.18534375
transcript.pyannote[898].speaker SPEAKER_18
transcript.pyannote[898].start 6464.38784375
transcript.pyannote[898].end 6465.51846875
transcript.pyannote[899].speaker SPEAKER_18
transcript.pyannote[899].start 6465.73784375
transcript.pyannote[899].end 6467.29034375
transcript.pyannote[900].speaker SPEAKER_18
transcript.pyannote[900].start 6467.74596875
transcript.pyannote[900].end 6468.48846875
transcript.pyannote[901].speaker SPEAKER_18
transcript.pyannote[901].start 6468.58971875
transcript.pyannote[901].end 6470.36159375
transcript.pyannote[902].speaker SPEAKER_18
transcript.pyannote[902].start 6474.27659375
transcript.pyannote[902].end 6474.29346875
transcript.pyannote[903].speaker SPEAKER_03
transcript.pyannote[903].start 6474.29346875
transcript.pyannote[903].end 6475.60971875
transcript.pyannote[904].speaker SPEAKER_03
transcript.pyannote[904].start 6477.73596875
transcript.pyannote[904].end 6478.74846875
transcript.pyannote[905].speaker SPEAKER_03
transcript.pyannote[905].start 6479.50784375
transcript.pyannote[905].end 6486.32534375
transcript.pyannote[906].speaker SPEAKER_29
transcript.pyannote[906].start 6483.47346875
transcript.pyannote[906].end 6491.45534375
transcript.pyannote[907].speaker SPEAKER_29
transcript.pyannote[907].start 6492.38346875
transcript.pyannote[907].end 6493.68284375
transcript.pyannote[908].speaker SPEAKER_18
transcript.pyannote[908].start 6492.50159375
transcript.pyannote[908].end 6493.21034375
transcript.pyannote[909].speaker SPEAKER_29
transcript.pyannote[909].start 6494.00346875
transcript.pyannote[909].end 6502.08659375
transcript.pyannote[910].speaker SPEAKER_18
transcript.pyannote[910].start 6498.62721875
transcript.pyannote[910].end 6504.14534375
transcript.pyannote[911].speaker SPEAKER_18
transcript.pyannote[911].start 6504.51659375
transcript.pyannote[911].end 6510.50721875
transcript.pyannote[912].speaker SPEAKER_18
transcript.pyannote[912].start 6510.72659375
transcript.pyannote[912].end 6518.57346875
transcript.pyannote[913].speaker SPEAKER_29
transcript.pyannote[913].start 6515.28284375
transcript.pyannote[913].end 6522.69096875
transcript.pyannote[914].speaker SPEAKER_18
transcript.pyannote[914].start 6519.67034375
transcript.pyannote[914].end 6524.31096875
transcript.pyannote[915].speaker SPEAKER_18
transcript.pyannote[915].start 6525.47534375
transcript.pyannote[915].end 6526.43721875
transcript.pyannote[916].speaker SPEAKER_18
transcript.pyannote[916].start 6527.83784375
transcript.pyannote[916].end 6528.83346875
transcript.pyannote[917].speaker SPEAKER_18
transcript.pyannote[917].start 6529.69409375
transcript.pyannote[917].end 6531.63471875
transcript.pyannote[918].speaker SPEAKER_18
transcript.pyannote[918].start 6532.24221875
transcript.pyannote[918].end 6533.25471875
transcript.pyannote[919].speaker SPEAKER_18
transcript.pyannote[919].start 6534.72284375
transcript.pyannote[919].end 6535.36409375
transcript.pyannote[920].speaker SPEAKER_18
transcript.pyannote[920].start 6538.30034375
transcript.pyannote[920].end 6543.27846875
transcript.pyannote[921].speaker SPEAKER_13
transcript.pyannote[921].start 6538.51971875
transcript.pyannote[921].end 6538.77284375
transcript.pyannote[922].speaker SPEAKER_13
transcript.pyannote[922].start 6540.05534375
transcript.pyannote[922].end 6541.08471875
transcript.pyannote[923].speaker SPEAKER_18
transcript.pyannote[923].start 6544.44284375
transcript.pyannote[923].end 6545.57346875
transcript.pyannote[924].speaker SPEAKER_18
transcript.pyannote[924].start 6546.26534375
transcript.pyannote[924].end 6547.10909375
transcript.pyannote[925].speaker SPEAKER_18
transcript.pyannote[925].start 6548.57721875
transcript.pyannote[925].end 6549.42096875
transcript.pyannote[926].speaker SPEAKER_18
transcript.pyannote[926].start 6551.32784375
transcript.pyannote[926].end 6551.98596875
transcript.pyannote[927].speaker SPEAKER_18
transcript.pyannote[927].start 6553.33596875
transcript.pyannote[927].end 6554.23034375
transcript.pyannote[928].speaker SPEAKER_18
transcript.pyannote[928].start 6554.28096875
transcript.pyannote[928].end 6554.65221875
transcript.pyannote[929].speaker SPEAKER_18
transcript.pyannote[929].start 6555.22596875
transcript.pyannote[929].end 6556.76159375
transcript.pyannote[930].speaker SPEAKER_18
transcript.pyannote[930].start 6558.61784375
transcript.pyannote[930].end 6559.41096875
transcript.pyannote[931].speaker SPEAKER_18
transcript.pyannote[931].start 6561.03096875
transcript.pyannote[931].end 6561.60471875
transcript.pyannote[932].speaker SPEAKER_18
transcript.pyannote[932].start 6562.09409375
transcript.pyannote[932].end 6563.41034375
transcript.pyannote[933].speaker SPEAKER_29
transcript.pyannote[933].start 6565.06409375
transcript.pyannote[933].end 6566.86971875
transcript.pyannote[934].speaker SPEAKER_18
transcript.pyannote[934].start 6567.49409375
transcript.pyannote[934].end 6569.18159375
transcript.pyannote[935].speaker SPEAKER_18
transcript.pyannote[935].start 6570.44721875
transcript.pyannote[935].end 6571.88159375
transcript.pyannote[936].speaker SPEAKER_18
transcript.pyannote[936].start 6572.82659375
transcript.pyannote[936].end 6574.07534375
transcript.pyannote[937].speaker SPEAKER_18
transcript.pyannote[937].start 6574.36221875
transcript.pyannote[937].end 6575.71221875
transcript.pyannote[938].speaker SPEAKER_18
transcript.pyannote[938].start 6577.68659375
transcript.pyannote[938].end 6578.71596875
transcript.pyannote[939].speaker SPEAKER_18
transcript.pyannote[939].start 6579.52596875
transcript.pyannote[939].end 6584.62221875
transcript.pyannote[940].speaker SPEAKER_18
transcript.pyannote[940].start 6585.87096875
transcript.pyannote[940].end 6587.03534375
transcript.pyannote[941].speaker SPEAKER_18
transcript.pyannote[941].start 6587.76096875
transcript.pyannote[941].end 6588.84096875
transcript.pyannote[942].speaker SPEAKER_18
transcript.pyannote[942].start 6589.51596875
transcript.pyannote[942].end 6592.89096875
transcript.pyannote[943].speaker SPEAKER_18
transcript.pyannote[943].start 6594.27471875
transcript.pyannote[943].end 6601.96971875
transcript.pyannote[944].speaker SPEAKER_29
transcript.pyannote[944].start 6601.96971875
transcript.pyannote[944].end 6605.47971875
transcript.pyannote[945].speaker SPEAKER_18
transcript.pyannote[945].start 6602.49284375
transcript.pyannote[945].end 6613.34346875
transcript.pyannote[946].speaker SPEAKER_29
transcript.pyannote[946].start 6605.93534375
transcript.pyannote[946].end 6606.76221875
transcript.pyannote[947].speaker SPEAKER_29
transcript.pyannote[947].start 6607.65659375
transcript.pyannote[947].end 6609.96846875
transcript.pyannote[948].speaker SPEAKER_30
transcript.pyannote[948].start 6609.96846875
transcript.pyannote[948].end 6610.17096875
transcript.pyannote[949].speaker SPEAKER_29
transcript.pyannote[949].start 6610.17096875
transcript.pyannote[949].end 6610.23846875
transcript.pyannote[950].speaker SPEAKER_18
transcript.pyannote[950].start 6613.86659375
transcript.pyannote[950].end 6615.79034375
transcript.pyannote[951].speaker SPEAKER_18
transcript.pyannote[951].start 6616.60034375
transcript.pyannote[951].end 6624.59909375
transcript.pyannote[952].speaker SPEAKER_18
transcript.pyannote[952].start 6624.97034375
transcript.pyannote[952].end 6627.46784375
transcript.pyannote[953].speaker SPEAKER_18
transcript.pyannote[953].start 6628.31159375
transcript.pyannote[953].end 6636.10784375
transcript.pyannote[954].speaker SPEAKER_18
transcript.pyannote[954].start 6636.64784375
transcript.pyannote[954].end 6637.71096875
transcript.pyannote[955].speaker SPEAKER_18
transcript.pyannote[955].start 6638.08221875
transcript.pyannote[955].end 6640.68096875
transcript.pyannote[956].speaker SPEAKER_13
transcript.pyannote[956].start 6652.02096875
transcript.pyannote[956].end 6655.24409375
transcript.pyannote[957].speaker SPEAKER_33
transcript.pyannote[957].start 6663.93471875
transcript.pyannote[957].end 6666.34784375
transcript.pyannote[958].speaker SPEAKER_33
transcript.pyannote[958].start 6666.82034375
transcript.pyannote[958].end 6667.02284375
transcript.pyannote[959].speaker SPEAKER_13
transcript.pyannote[959].start 6667.02284375
transcript.pyannote[959].end 6667.15784375
transcript.pyannote[960].speaker SPEAKER_33
transcript.pyannote[960].start 6667.15784375
transcript.pyannote[960].end 6667.22534375
transcript.pyannote[961].speaker SPEAKER_13
transcript.pyannote[961].start 6667.22534375
transcript.pyannote[961].end 6667.24221875
transcript.pyannote[962].speaker SPEAKER_33
transcript.pyannote[962].start 6667.24221875
transcript.pyannote[962].end 6667.69784375
transcript.pyannote[963].speaker SPEAKER_33
transcript.pyannote[963].start 6668.06909375
transcript.pyannote[963].end 6669.60471875
transcript.pyannote[964].speaker SPEAKER_33
transcript.pyannote[964].start 6670.80284375
transcript.pyannote[964].end 6672.06846875
transcript.pyannote[965].speaker SPEAKER_35
transcript.pyannote[965].start 6672.06846875
transcript.pyannote[965].end 6672.10221875
transcript.pyannote[966].speaker SPEAKER_29
transcript.pyannote[966].start 6672.82784375
transcript.pyannote[966].end 6674.73471875
transcript.pyannote[967].speaker SPEAKER_29
transcript.pyannote[967].start 6674.75159375
transcript.pyannote[967].end 6675.37596875
transcript.pyannote[968].speaker SPEAKER_35
transcript.pyannote[968].start 6675.32534375
transcript.pyannote[968].end 6675.35909375
transcript.pyannote[969].speaker SPEAKER_35
transcript.pyannote[969].start 6675.37596875
transcript.pyannote[969].end 6675.46034375
transcript.pyannote[970].speaker SPEAKER_35
transcript.pyannote[970].start 6677.13096875
transcript.pyannote[970].end 6678.41346875
transcript.pyannote[971].speaker SPEAKER_35
transcript.pyannote[971].start 6678.64971875
transcript.pyannote[971].end 6679.72971875
transcript.pyannote[972].speaker SPEAKER_25
transcript.pyannote[972].start 6679.89846875
transcript.pyannote[972].end 6680.25284375
transcript.pyannote[973].speaker SPEAKER_35
transcript.pyannote[973].start 6680.79284375
transcript.pyannote[973].end 6682.53096875
transcript.pyannote[974].speaker SPEAKER_35
transcript.pyannote[974].start 6682.96971875
transcript.pyannote[974].end 6684.11721875
transcript.pyannote[975].speaker SPEAKER_35
transcript.pyannote[975].start 6684.67409375
transcript.pyannote[975].end 6721.32659375
transcript.pyannote[976].speaker SPEAKER_35
transcript.pyannote[976].start 6721.86659375
transcript.pyannote[976].end 6726.06846875
transcript.pyannote[977].speaker SPEAKER_35
transcript.pyannote[977].start 6726.77721875
transcript.pyannote[977].end 6731.99159375
transcript.pyannote[978].speaker SPEAKER_35
transcript.pyannote[978].start 6732.34596875
transcript.pyannote[978].end 6734.65784375
transcript.pyannote[979].speaker SPEAKER_35
transcript.pyannote[979].start 6734.84346875
transcript.pyannote[979].end 6736.04159375
transcript.pyannote[980].speaker SPEAKER_35
transcript.pyannote[980].start 6736.58159375
transcript.pyannote[980].end 6737.96534375
transcript.pyannote[981].speaker SPEAKER_35
transcript.pyannote[981].start 6738.31971875
transcript.pyannote[981].end 6748.68096875
transcript.pyannote[982].speaker SPEAKER_35
transcript.pyannote[982].start 6749.03534375
transcript.pyannote[982].end 6756.93284375
transcript.pyannote[983].speaker SPEAKER_35
transcript.pyannote[983].start 6757.55721875
transcript.pyannote[983].end 6758.16471875
transcript.pyannote[984].speaker SPEAKER_24
transcript.pyannote[984].start 6758.16471875
transcript.pyannote[984].end 6758.72159375
transcript.pyannote[985].speaker SPEAKER_35
transcript.pyannote[985].start 6758.19846875
transcript.pyannote[985].end 6774.73596875
transcript.pyannote[986].speaker SPEAKER_25
transcript.pyannote[986].start 6774.63471875
transcript.pyannote[986].end 6774.95534375
transcript.pyannote[987].speaker SPEAKER_35
transcript.pyannote[987].start 6774.90471875
transcript.pyannote[987].end 6783.86534375
transcript.pyannote[988].speaker SPEAKER_35
transcript.pyannote[988].start 6784.40534375
transcript.pyannote[988].end 6793.60221875
transcript.pyannote[989].speaker SPEAKER_35
transcript.pyannote[989].start 6794.02409375
transcript.pyannote[989].end 6797.70284375
transcript.pyannote[990].speaker SPEAKER_35
transcript.pyannote[990].start 6798.19221875
transcript.pyannote[990].end 6799.30596875
transcript.pyannote[991].speaker SPEAKER_35
transcript.pyannote[991].start 6799.98096875
transcript.pyannote[991].end 6802.71471875
transcript.pyannote[992].speaker SPEAKER_35
transcript.pyannote[992].start 6803.18721875
transcript.pyannote[992].end 6803.74409375
transcript.pyannote[993].speaker SPEAKER_35
transcript.pyannote[993].start 6803.99721875
transcript.pyannote[993].end 6804.68909375
transcript.pyannote[994].speaker SPEAKER_35
transcript.pyannote[994].start 6805.19534375
transcript.pyannote[994].end 6808.26659375
transcript.pyannote[995].speaker SPEAKER_35
transcript.pyannote[995].start 6808.40159375
transcript.pyannote[995].end 6810.73034375
transcript.pyannote[996].speaker SPEAKER_35
transcript.pyannote[996].start 6811.28721875
transcript.pyannote[996].end 6838.27034375
transcript.pyannote[997].speaker SPEAKER_35
transcript.pyannote[997].start 6838.75971875
transcript.pyannote[997].end 6842.28659375
transcript.pyannote[998].speaker SPEAKER_29
transcript.pyannote[998].start 6843.13034375
transcript.pyannote[998].end 6896.18534375
transcript.pyannote[999].speaker SPEAKER_35
transcript.pyannote[999].start 6897.06284375
transcript.pyannote[999].end 6907.10346875
transcript.pyannote[1000].speaker SPEAKER_25
transcript.pyannote[1000].start 6907.10346875
transcript.pyannote[1000].end 6907.12034375
transcript.pyannote[1001].speaker SPEAKER_35
transcript.pyannote[1001].start 6907.12034375
transcript.pyannote[1001].end 6910.19159375
transcript.pyannote[1002].speaker SPEAKER_25
transcript.pyannote[1002].start 6908.28471875
transcript.pyannote[1002].end 6908.65596875
transcript.pyannote[1003].speaker SPEAKER_25
transcript.pyannote[1003].start 6908.94284375
transcript.pyannote[1003].end 6909.29721875
transcript.pyannote[1004].speaker SPEAKER_29
transcript.pyannote[1004].start 6909.29721875
transcript.pyannote[1004].end 6909.56721875
transcript.pyannote[1005].speaker SPEAKER_25
transcript.pyannote[1005].start 6909.56721875
transcript.pyannote[1005].end 6909.97221875
transcript.pyannote[1006].speaker SPEAKER_35
transcript.pyannote[1006].start 6910.41096875
transcript.pyannote[1006].end 6911.05221875
transcript.pyannote[1007].speaker SPEAKER_25
transcript.pyannote[1007].start 6910.56284375
transcript.pyannote[1007].end 6910.83284375
transcript.pyannote[1008].speaker SPEAKER_35
transcript.pyannote[1008].start 6911.17034375
transcript.pyannote[1008].end 6915.70971875
transcript.pyannote[1009].speaker SPEAKER_29
transcript.pyannote[1009].start 6915.27096875
transcript.pyannote[1009].end 6915.96284375
transcript.pyannote[1010].speaker SPEAKER_35
transcript.pyannote[1010].start 6916.19909375
transcript.pyannote[1010].end 6923.05034375
transcript.pyannote[1011].speaker SPEAKER_35
transcript.pyannote[1011].start 6923.11784375
transcript.pyannote[1011].end 6923.62409375
transcript.pyannote[1012].speaker SPEAKER_29
transcript.pyannote[1012].start 6923.28659375
transcript.pyannote[1012].end 6923.30346875
transcript.pyannote[1013].speaker SPEAKER_00
transcript.pyannote[1013].start 6923.30346875
transcript.pyannote[1013].end 6923.32034375
transcript.pyannote[1014].speaker SPEAKER_29
transcript.pyannote[1014].start 6923.32034375
transcript.pyannote[1014].end 6923.37096875
transcript.pyannote[1015].speaker SPEAKER_00
transcript.pyannote[1015].start 6923.37096875
transcript.pyannote[1015].end 6923.42159375
transcript.pyannote[1016].speaker SPEAKER_35
transcript.pyannote[1016].start 6923.86034375
transcript.pyannote[1016].end 6927.60659375
transcript.pyannote[1017].speaker SPEAKER_35
transcript.pyannote[1017].start 6928.12971875
transcript.pyannote[1017].end 6933.68159375
transcript.pyannote[1018].speaker SPEAKER_35
transcript.pyannote[1018].start 6933.79971875
transcript.pyannote[1018].end 6945.29159375
transcript.pyannote[1019].speaker SPEAKER_35
transcript.pyannote[1019].start 6945.56159375
transcript.pyannote[1019].end 6951.29909375
transcript.pyannote[1020].speaker SPEAKER_35
transcript.pyannote[1020].start 6951.99096875
transcript.pyannote[1020].end 6973.20284375
transcript.pyannote[1021].speaker SPEAKER_35
transcript.pyannote[1021].start 6973.60784375
transcript.pyannote[1021].end 6973.96221875
transcript.pyannote[1022].speaker SPEAKER_35
transcript.pyannote[1022].start 6974.53596875
transcript.pyannote[1022].end 6993.43596875
transcript.pyannote[1023].speaker SPEAKER_35
transcript.pyannote[1023].start 6993.95909375
transcript.pyannote[1023].end 7009.07909375
transcript.pyannote[1024].speaker SPEAKER_35
transcript.pyannote[1024].start 7009.31534375
transcript.pyannote[1024].end 7016.85846875
transcript.pyannote[1025].speaker SPEAKER_35
transcript.pyannote[1025].start 7017.29721875
transcript.pyannote[1025].end 7018.12409375
transcript.pyannote[1026].speaker SPEAKER_24
transcript.pyannote[1026].start 7018.12409375
transcript.pyannote[1026].end 7018.37721875
transcript.pyannote[1027].speaker SPEAKER_35
transcript.pyannote[1027].start 7018.32659375
transcript.pyannote[1027].end 7023.96284375
transcript.pyannote[1028].speaker SPEAKER_35
transcript.pyannote[1028].start 7024.16534375
transcript.pyannote[1028].end 7028.31659375
transcript.pyannote[1029].speaker SPEAKER_35
transcript.pyannote[1029].start 7028.68784375
transcript.pyannote[1029].end 7032.24846875
transcript.pyannote[1030].speaker SPEAKER_35
transcript.pyannote[1030].start 7032.67034375
transcript.pyannote[1030].end 7042.03596875
transcript.pyannote[1031].speaker SPEAKER_35
transcript.pyannote[1031].start 7042.93034375
transcript.pyannote[1031].end 7043.41971875
transcript.pyannote[1032].speaker SPEAKER_35
transcript.pyannote[1032].start 7044.01034375
transcript.pyannote[1032].end 7054.96221875
transcript.pyannote[1033].speaker SPEAKER_29
transcript.pyannote[1033].start 7052.81909375
transcript.pyannote[1033].end 7065.89721875
transcript.pyannote[1034].speaker SPEAKER_35
transcript.pyannote[1034].start 7066.89284375
transcript.pyannote[1034].end 7071.90471875
transcript.pyannote[1035].speaker SPEAKER_35
transcript.pyannote[1035].start 7072.29284375
transcript.pyannote[1035].end 7077.79409375
transcript.pyannote[1036].speaker SPEAKER_35
transcript.pyannote[1036].start 7077.87846875
transcript.pyannote[1036].end 7079.90346875
transcript.pyannote[1037].speaker SPEAKER_35
transcript.pyannote[1037].start 7080.08909375
transcript.pyannote[1037].end 7082.14784375
transcript.pyannote[1038].speaker SPEAKER_35
transcript.pyannote[1038].start 7082.45159375
transcript.pyannote[1038].end 7088.91471875
transcript.pyannote[1039].speaker SPEAKER_35
transcript.pyannote[1039].start 7088.98221875
transcript.pyannote[1039].end 7096.91346875
transcript.pyannote[1040].speaker SPEAKER_35
transcript.pyannote[1040].start 7097.48721875
transcript.pyannote[1040].end 7134.02159375
transcript.pyannote[1041].speaker SPEAKER_44
transcript.pyannote[1041].start 7114.80096875
transcript.pyannote[1041].end 7114.93596875
transcript.pyannote[1042].speaker SPEAKER_35
transcript.pyannote[1042].start 7134.30846875
transcript.pyannote[1042].end 7135.06784375
transcript.pyannote[1043].speaker SPEAKER_35
transcript.pyannote[1043].start 7135.35471875
transcript.pyannote[1043].end 7136.41784375
transcript.pyannote[1044].speaker SPEAKER_35
transcript.pyannote[1044].start 7136.87346875
transcript.pyannote[1044].end 7137.36284375
transcript.pyannote[1045].speaker SPEAKER_35
transcript.pyannote[1045].start 7137.95346875
transcript.pyannote[1045].end 7140.43409375
transcript.pyannote[1046].speaker SPEAKER_35
transcript.pyannote[1046].start 7140.88971875
transcript.pyannote[1046].end 7143.43784375
transcript.pyannote[1047].speaker SPEAKER_35
transcript.pyannote[1047].start 7143.62346875
transcript.pyannote[1047].end 7157.71409375
transcript.pyannote[1048].speaker SPEAKER_35
transcript.pyannote[1048].start 7157.86596875
transcript.pyannote[1048].end 7160.16096875
transcript.pyannote[1049].speaker SPEAKER_35
transcript.pyannote[1049].start 7160.44784375
transcript.pyannote[1049].end 7162.38846875
transcript.pyannote[1050].speaker SPEAKER_35
transcript.pyannote[1050].start 7162.64159375
transcript.pyannote[1050].end 7163.26596875
transcript.pyannote[1051].speaker SPEAKER_35
transcript.pyannote[1051].start 7163.41784375
transcript.pyannote[1051].end 7164.48096875
transcript.pyannote[1052].speaker SPEAKER_29
transcript.pyannote[1052].start 7164.02534375
transcript.pyannote[1052].end 7166.57346875
transcript.pyannote[1053].speaker SPEAKER_35
transcript.pyannote[1053].start 7166.72534375
transcript.pyannote[1053].end 7172.26034375
transcript.pyannote[1054].speaker SPEAKER_35
transcript.pyannote[1054].start 7172.78346875
transcript.pyannote[1054].end 7190.08034375
transcript.pyannote[1055].speaker SPEAKER_35
transcript.pyannote[1055].start 7190.38409375
transcript.pyannote[1055].end 7192.94909375
transcript.pyannote[1056].speaker SPEAKER_29
transcript.pyannote[1056].start 7192.94909375
transcript.pyannote[1056].end 7199.24346875
transcript.pyannote[1057].speaker SPEAKER_35
transcript.pyannote[1057].start 7196.40846875
transcript.pyannote[1057].end 7197.45471875
transcript.pyannote[1058].speaker SPEAKER_35
transcript.pyannote[1058].start 7198.34909375
transcript.pyannote[1058].end 7200.49221875
transcript.pyannote[1059].speaker SPEAKER_35
transcript.pyannote[1059].start 7200.64409375
transcript.pyannote[1059].end 7203.81659375
transcript.pyannote[1060].speaker SPEAKER_29
transcript.pyannote[1060].start 7203.81659375
transcript.pyannote[1060].end 7203.85034375
transcript.pyannote[1061].speaker SPEAKER_24
transcript.pyannote[1061].start 7203.85034375
transcript.pyannote[1061].end 7204.05284375
transcript.pyannote[1062].speaker SPEAKER_35
transcript.pyannote[1062].start 7204.05284375
transcript.pyannote[1062].end 7207.59659375
transcript.pyannote[1063].speaker SPEAKER_35
transcript.pyannote[1063].start 7207.90034375
transcript.pyannote[1063].end 7208.52471875
transcript.pyannote[1064].speaker SPEAKER_35
transcript.pyannote[1064].start 7208.94659375
transcript.pyannote[1064].end 7237.36409375
transcript.pyannote[1065].speaker SPEAKER_25
transcript.pyannote[1065].start 7237.21221875
transcript.pyannote[1065].end 7237.26284375
transcript.pyannote[1066].speaker SPEAKER_29
transcript.pyannote[1066].start 7237.36409375
transcript.pyannote[1066].end 7238.03909375
transcript.pyannote[1067].speaker SPEAKER_25
transcript.pyannote[1067].start 7238.03909375
transcript.pyannote[1067].end 7238.10659375
transcript.pyannote[1068].speaker SPEAKER_29
transcript.pyannote[1068].start 7238.05596875
transcript.pyannote[1068].end 7238.07284375
transcript.pyannote[1069].speaker SPEAKER_35
transcript.pyannote[1069].start 7238.07284375
transcript.pyannote[1069].end 7239.28784375
transcript.pyannote[1070].speaker SPEAKER_29
transcript.pyannote[1070].start 7238.10659375
transcript.pyannote[1070].end 7238.17409375
transcript.pyannote[1071].speaker SPEAKER_25
transcript.pyannote[1071].start 7238.17409375
transcript.pyannote[1071].end 7238.19096875
transcript.pyannote[1072].speaker SPEAKER_29
transcript.pyannote[1072].start 7238.19096875
transcript.pyannote[1072].end 7238.20784375
transcript.pyannote[1073].speaker SPEAKER_25
transcript.pyannote[1073].start 7238.20784375
transcript.pyannote[1073].end 7238.24159375
transcript.pyannote[1074].speaker SPEAKER_29
transcript.pyannote[1074].start 7238.24159375
transcript.pyannote[1074].end 7238.25846875
transcript.pyannote[1075].speaker SPEAKER_25
transcript.pyannote[1075].start 7239.40596875
transcript.pyannote[1075].end 7239.70971875
transcript.pyannote[1076].speaker SPEAKER_35
transcript.pyannote[1076].start 7240.65471875
transcript.pyannote[1076].end 7242.46034375
transcript.pyannote[1077].speaker SPEAKER_35
transcript.pyannote[1077].start 7242.84846875
transcript.pyannote[1077].end 7243.55721875
transcript.pyannote[1078].speaker SPEAKER_35
transcript.pyannote[1078].start 7245.00846875
transcript.pyannote[1078].end 7246.29096875
transcript.pyannote[1079].speaker SPEAKER_35
transcript.pyannote[1079].start 7246.61159375
transcript.pyannote[1079].end 7247.13471875
transcript.pyannote[1080].speaker SPEAKER_35
transcript.pyannote[1080].start 7247.37096875
transcript.pyannote[1080].end 7248.23159375
transcript.pyannote[1081].speaker SPEAKER_35
transcript.pyannote[1081].start 7249.34534375
transcript.pyannote[1081].end 7250.10471875
transcript.pyannote[1082].speaker SPEAKER_06
transcript.pyannote[1082].start 7250.10471875
transcript.pyannote[1082].end 7250.12159375
transcript.pyannote[1083].speaker SPEAKER_06
transcript.pyannote[1083].start 7251.23534375
transcript.pyannote[1083].end 7256.82096875
transcript.pyannote[1084].speaker SPEAKER_06
transcript.pyannote[1084].start 7257.39471875
transcript.pyannote[1084].end 7276.34534375
transcript.pyannote[1085].speaker SPEAKER_35
transcript.pyannote[1085].start 7273.05471875
transcript.pyannote[1085].end 7273.45971875
transcript.pyannote[1086].speaker SPEAKER_33
transcript.pyannote[1086].start 7273.45971875
transcript.pyannote[1086].end 7273.52721875
transcript.pyannote[1087].speaker SPEAKER_35
transcript.pyannote[1087].start 7276.49721875
transcript.pyannote[1087].end 7310.60159375
transcript.pyannote[1088].speaker SPEAKER_35
transcript.pyannote[1088].start 7310.85471875
transcript.pyannote[1088].end 7323.03846875
transcript.pyannote[1089].speaker SPEAKER_35
transcript.pyannote[1089].start 7323.27471875
transcript.pyannote[1089].end 7327.57784375
transcript.pyannote[1090].speaker SPEAKER_35
transcript.pyannote[1090].start 7327.96596875
transcript.pyannote[1090].end 7331.93159375
transcript.pyannote[1091].speaker SPEAKER_25
transcript.pyannote[1091].start 7330.98659375
transcript.pyannote[1091].end 7332.13409375
transcript.pyannote[1092].speaker SPEAKER_35
transcript.pyannote[1092].start 7332.13409375
transcript.pyannote[1092].end 7342.98471875
transcript.pyannote[1093].speaker SPEAKER_25
transcript.pyannote[1093].start 7332.67409375
transcript.pyannote[1093].end 7333.12971875
transcript.pyannote[1094].speaker SPEAKER_35
transcript.pyannote[1094].start 7343.50784375
transcript.pyannote[1094].end 7343.91284375
transcript.pyannote[1095].speaker SPEAKER_35
transcript.pyannote[1095].start 7344.35159375
transcript.pyannote[1095].end 7344.97596875
transcript.pyannote[1096].speaker SPEAKER_35
transcript.pyannote[1096].start 7345.24596875
transcript.pyannote[1096].end 7346.03909375
transcript.pyannote[1097].speaker SPEAKER_35
transcript.pyannote[1097].start 7346.30909375
transcript.pyannote[1097].end 7346.89971875
transcript.pyannote[1098].speaker SPEAKER_35
transcript.pyannote[1098].start 7347.28784375
transcript.pyannote[1098].end 7356.97409375
transcript.pyannote[1099].speaker SPEAKER_35
transcript.pyannote[1099].start 7357.17659375
transcript.pyannote[1099].end 7360.14659375
transcript.pyannote[1100].speaker SPEAKER_35
transcript.pyannote[1100].start 7360.21409375
transcript.pyannote[1100].end 7361.47971875
transcript.pyannote[1101].speaker SPEAKER_35
transcript.pyannote[1101].start 7361.80034375
transcript.pyannote[1101].end 7362.47534375
transcript.pyannote[1102].speaker SPEAKER_35
transcript.pyannote[1102].start 7362.69471875
transcript.pyannote[1102].end 7364.92221875
transcript.pyannote[1103].speaker SPEAKER_35
transcript.pyannote[1103].start 7365.93471875
transcript.pyannote[1103].end 7389.89721875
transcript.pyannote[1104].speaker SPEAKER_35
transcript.pyannote[1104].start 7390.01534375
transcript.pyannote[1104].end 7390.03221875
transcript.pyannote[1105].speaker SPEAKER_35
transcript.pyannote[1105].start 7390.06596875
transcript.pyannote[1105].end 7392.10784375
transcript.pyannote[1106].speaker SPEAKER_35
transcript.pyannote[1106].start 7392.66471875
transcript.pyannote[1106].end 7393.10346875
transcript.pyannote[1107].speaker SPEAKER_35
transcript.pyannote[1107].start 7393.94721875
transcript.pyannote[1107].end 7395.49971875
transcript.pyannote[1108].speaker SPEAKER_35
transcript.pyannote[1108].start 7396.09034375
transcript.pyannote[1108].end 7411.96971875
transcript.pyannote[1109].speaker SPEAKER_35
transcript.pyannote[1109].start 7412.37471875
transcript.pyannote[1109].end 7416.61034375
transcript.pyannote[1110].speaker SPEAKER_29
transcript.pyannote[1110].start 7416.61034375
transcript.pyannote[1110].end 7430.97096875
transcript.pyannote[1111].speaker SPEAKER_29
transcript.pyannote[1111].start 7432.11846875
transcript.pyannote[1111].end 7432.62471875
transcript.pyannote[1112].speaker SPEAKER_13
transcript.pyannote[1112].start 7439.74596875
transcript.pyannote[1112].end 7444.33596875
transcript.pyannote[1113].speaker SPEAKER_13
transcript.pyannote[1113].start 7444.45409375
transcript.pyannote[1113].end 7444.96034375
transcript.pyannote[1114].speaker SPEAKER_13
transcript.pyannote[1114].start 7445.38221875
transcript.pyannote[1114].end 7447.15409375
transcript.pyannote[1115].speaker SPEAKER_13
transcript.pyannote[1115].start 7447.55909375
transcript.pyannote[1115].end 7452.50346875
transcript.pyannote[1116].speaker SPEAKER_34
transcript.pyannote[1116].start 7459.89471875
transcript.pyannote[1116].end 7462.86471875
transcript.pyannote[1117].speaker SPEAKER_13
transcript.pyannote[1117].start 7463.35409375
transcript.pyannote[1117].end 7464.26534375
transcript.pyannote[1118].speaker SPEAKER_26
transcript.pyannote[1118].start 7472.28096875
transcript.pyannote[1118].end 7472.78721875
transcript.pyannote[1119].speaker SPEAKER_34
transcript.pyannote[1119].start 7472.78721875
transcript.pyannote[1119].end 7480.36409375
transcript.pyannote[1120].speaker SPEAKER_34
transcript.pyannote[1120].start 7480.61721875
transcript.pyannote[1120].end 7533.87471875
transcript.pyannote[1121].speaker SPEAKER_29
transcript.pyannote[1121].start 7530.90471875
transcript.pyannote[1121].end 7531.14096875
transcript.pyannote[1122].speaker SPEAKER_29
transcript.pyannote[1122].start 7532.96346875
transcript.pyannote[1122].end 7534.43159375
transcript.pyannote[1123].speaker SPEAKER_34
transcript.pyannote[1123].start 7534.44846875
transcript.pyannote[1123].end 7539.35909375
transcript.pyannote[1124].speaker SPEAKER_29
transcript.pyannote[1124].start 7537.46909375
transcript.pyannote[1124].end 7537.73909375
transcript.pyannote[1125].speaker SPEAKER_29
transcript.pyannote[1125].start 7539.35909375
transcript.pyannote[1125].end 7539.76409375
transcript.pyannote[1126].speaker SPEAKER_34
transcript.pyannote[1126].start 7539.76409375
transcript.pyannote[1126].end 7541.58659375
transcript.pyannote[1127].speaker SPEAKER_29
transcript.pyannote[1127].start 7539.78096875
transcript.pyannote[1127].end 7539.81471875
transcript.pyannote[1128].speaker SPEAKER_34
transcript.pyannote[1128].start 7542.43034375
transcript.pyannote[1128].end 7558.68096875
transcript.pyannote[1129].speaker SPEAKER_00
transcript.pyannote[1129].start 7551.89721875
transcript.pyannote[1129].end 7552.31909375
transcript.pyannote[1130].speaker SPEAKER_34
transcript.pyannote[1130].start 7558.84971875
transcript.pyannote[1130].end 7566.07221875
transcript.pyannote[1131].speaker SPEAKER_29
transcript.pyannote[1131].start 7566.05534375
transcript.pyannote[1131].end 7626.92346875
transcript.pyannote[1132].speaker SPEAKER_00
transcript.pyannote[1132].start 7576.29846875
transcript.pyannote[1132].end 7576.63596875
transcript.pyannote[1133].speaker SPEAKER_00
transcript.pyannote[1133].start 7581.86721875
transcript.pyannote[1133].end 7582.01909375
transcript.pyannote[1134].speaker SPEAKER_00
transcript.pyannote[1134].start 7586.50784375
transcript.pyannote[1134].end 7586.89596875
transcript.pyannote[1135].speaker SPEAKER_00
transcript.pyannote[1135].start 7589.51159375
transcript.pyannote[1135].end 7590.08534375
transcript.pyannote[1136].speaker SPEAKER_00
transcript.pyannote[1136].start 7594.55721875
transcript.pyannote[1136].end 7594.59096875
transcript.pyannote[1137].speaker SPEAKER_00
transcript.pyannote[1137].start 7594.64159375
transcript.pyannote[1137].end 7594.91159375
transcript.pyannote[1138].speaker SPEAKER_29
transcript.pyannote[1138].start 7627.19346875
transcript.pyannote[1138].end 7650.31221875
transcript.pyannote[1139].speaker SPEAKER_34
transcript.pyannote[1139].start 7648.77659375
transcript.pyannote[1139].end 7660.31909375
transcript.pyannote[1140].speaker SPEAKER_29
transcript.pyannote[1140].start 7651.57784375
transcript.pyannote[1140].end 7653.75471875
transcript.pyannote[1141].speaker SPEAKER_25
transcript.pyannote[1141].start 7653.75471875
transcript.pyannote[1141].end 7653.78846875
transcript.pyannote[1142].speaker SPEAKER_29
transcript.pyannote[1142].start 7658.22659375
transcript.pyannote[1142].end 7658.24346875
transcript.pyannote[1143].speaker SPEAKER_25
transcript.pyannote[1143].start 7658.24346875
transcript.pyannote[1143].end 7658.58096875
transcript.pyannote[1144].speaker SPEAKER_29
transcript.pyannote[1144].start 7658.58096875
transcript.pyannote[1144].end 7658.59784375
transcript.pyannote[1145].speaker SPEAKER_25
transcript.pyannote[1145].start 7659.76221875
transcript.pyannote[1145].end 7660.03221875
transcript.pyannote[1146].speaker SPEAKER_29
transcript.pyannote[1146].start 7660.03221875
transcript.pyannote[1146].end 7660.96034375
transcript.pyannote[1147].speaker SPEAKER_34
transcript.pyannote[1147].start 7660.63971875
transcript.pyannote[1147].end 7690.32284375
transcript.pyannote[1148].speaker SPEAKER_25
transcript.pyannote[1148].start 7660.96034375
transcript.pyannote[1148].end 7661.68596875
transcript.pyannote[1149].speaker SPEAKER_29
transcript.pyannote[1149].start 7661.68596875
transcript.pyannote[1149].end 7661.77034375
transcript.pyannote[1150].speaker SPEAKER_25
transcript.pyannote[1150].start 7661.77034375
transcript.pyannote[1150].end 7661.85471875
transcript.pyannote[1151].speaker SPEAKER_34
transcript.pyannote[1151].start 7690.86284375
transcript.pyannote[1151].end 7692.71909375
transcript.pyannote[1152].speaker SPEAKER_34
transcript.pyannote[1152].start 7692.76971875
transcript.pyannote[1152].end 7708.75034375
transcript.pyannote[1153].speaker SPEAKER_29
transcript.pyannote[1153].start 7707.97409375
transcript.pyannote[1153].end 7709.93159375
transcript.pyannote[1154].speaker SPEAKER_34
transcript.pyannote[1154].start 7709.44221875
transcript.pyannote[1154].end 7715.46659375
transcript.pyannote[1155].speaker SPEAKER_29
transcript.pyannote[1155].start 7712.91846875
transcript.pyannote[1155].end 7713.23909375
transcript.pyannote[1156].speaker SPEAKER_29
transcript.pyannote[1156].start 7715.34846875
transcript.pyannote[1156].end 7717.18784375
transcript.pyannote[1157].speaker SPEAKER_29
transcript.pyannote[1157].start 7717.20471875
transcript.pyannote[1157].end 7717.25534375
transcript.pyannote[1158].speaker SPEAKER_34
transcript.pyannote[1158].start 7717.25534375
transcript.pyannote[1158].end 7738.19721875
transcript.pyannote[1159].speaker SPEAKER_29
transcript.pyannote[1159].start 7717.27221875
transcript.pyannote[1159].end 7718.09909375
transcript.pyannote[1160].speaker SPEAKER_34
transcript.pyannote[1160].start 7738.38284375
transcript.pyannote[1160].end 7752.35534375
transcript.pyannote[1161].speaker SPEAKER_24
transcript.pyannote[1161].start 7740.61034375
transcript.pyannote[1161].end 7740.64409375
transcript.pyannote[1162].speaker SPEAKER_24
transcript.pyannote[1162].start 7740.77909375
transcript.pyannote[1162].end 7740.98159375
transcript.pyannote[1163].speaker SPEAKER_34
transcript.pyannote[1163].start 7752.74346875
transcript.pyannote[1163].end 7756.27034375
transcript.pyannote[1164].speaker SPEAKER_34
transcript.pyannote[1164].start 7756.75971875
transcript.pyannote[1164].end 7796.14596875
transcript.pyannote[1165].speaker SPEAKER_43
transcript.pyannote[1165].start 7772.74034375
transcript.pyannote[1165].end 7775.84534375
transcript.pyannote[1166].speaker SPEAKER_00
transcript.pyannote[1166].start 7793.66534375
transcript.pyannote[1166].end 7794.03659375
transcript.pyannote[1167].speaker SPEAKER_24
transcript.pyannote[1167].start 7794.03659375
transcript.pyannote[1167].end 7794.39096875
transcript.pyannote[1168].speaker SPEAKER_00
transcript.pyannote[1168].start 7794.39096875
transcript.pyannote[1168].end 7794.52596875
transcript.pyannote[1169].speaker SPEAKER_34
transcript.pyannote[1169].start 7796.55096875
transcript.pyannote[1169].end 7822.90971875
transcript.pyannote[1170].speaker SPEAKER_24
transcript.pyannote[1170].start 7799.70659375
transcript.pyannote[1170].end 7800.93846875
transcript.pyannote[1171].speaker SPEAKER_24
transcript.pyannote[1171].start 7805.54534375
transcript.pyannote[1171].end 7805.91659375
transcript.pyannote[1172].speaker SPEAKER_00
transcript.pyannote[1172].start 7805.91659375
transcript.pyannote[1172].end 7805.95034375
transcript.pyannote[1173].speaker SPEAKER_34
transcript.pyannote[1173].start 7823.04471875
transcript.pyannote[1173].end 7861.73909375
transcript.pyannote[1174].speaker SPEAKER_00
transcript.pyannote[1174].start 7839.73409375
transcript.pyannote[1174].end 7839.75096875
transcript.pyannote[1175].speaker SPEAKER_24
transcript.pyannote[1175].start 7839.75096875
transcript.pyannote[1175].end 7841.59034375
transcript.pyannote[1176].speaker SPEAKER_24
transcript.pyannote[1176].start 7842.46784375
transcript.pyannote[1176].end 7842.95721875
transcript.pyannote[1177].speaker SPEAKER_00
transcript.pyannote[1177].start 7842.95721875
transcript.pyannote[1177].end 7842.97409375
transcript.pyannote[1178].speaker SPEAKER_00
transcript.pyannote[1178].start 7847.59784375
transcript.pyannote[1178].end 7847.61471875
transcript.pyannote[1179].speaker SPEAKER_24
transcript.pyannote[1179].start 7847.61471875
transcript.pyannote[1179].end 7847.95221875
transcript.pyannote[1180].speaker SPEAKER_29
transcript.pyannote[1180].start 7860.54096875
transcript.pyannote[1180].end 7860.77721875
transcript.pyannote[1181].speaker SPEAKER_29
transcript.pyannote[1181].start 7861.40159375
transcript.pyannote[1181].end 7867.81409375
transcript.pyannote[1182].speaker SPEAKER_34
transcript.pyannote[1182].start 7866.32909375
transcript.pyannote[1182].end 7866.80159375
transcript.pyannote[1183].speaker SPEAKER_24
transcript.pyannote[1183].start 7866.80159375
transcript.pyannote[1183].end 7866.81846875
transcript.pyannote[1184].speaker SPEAKER_34
transcript.pyannote[1184].start 7867.71284375
transcript.pyannote[1184].end 7868.05034375
transcript.pyannote[1185].speaker SPEAKER_29
transcript.pyannote[1185].start 7867.91534375
transcript.pyannote[1185].end 7878.27659375
transcript.pyannote[1186].speaker SPEAKER_24
transcript.pyannote[1186].start 7868.05034375
transcript.pyannote[1186].end 7868.10096875
transcript.pyannote[1187].speaker SPEAKER_24
transcript.pyannote[1187].start 7876.36971875
transcript.pyannote[1187].end 7876.79159375
transcript.pyannote[1188].speaker SPEAKER_00
transcript.pyannote[1188].start 7876.79159375
transcript.pyannote[1188].end 7877.21346875
transcript.pyannote[1189].speaker SPEAKER_29
transcript.pyannote[1189].start 7878.44534375
transcript.pyannote[1189].end 7886.86596875
transcript.pyannote[1190].speaker SPEAKER_24
transcript.pyannote[1190].start 7880.82471875
transcript.pyannote[1190].end 7880.92596875
transcript.pyannote[1191].speaker SPEAKER_34
transcript.pyannote[1191].start 7880.92596875
transcript.pyannote[1191].end 7881.38159375
transcript.pyannote[1192].speaker SPEAKER_34
transcript.pyannote[1192].start 7886.86596875
transcript.pyannote[1192].end 7895.33721875
transcript.pyannote[1193].speaker SPEAKER_29
transcript.pyannote[1193].start 7894.07159375
transcript.pyannote[1193].end 7894.57784375
transcript.pyannote[1194].speaker SPEAKER_34
transcript.pyannote[1194].start 7895.45534375
transcript.pyannote[1194].end 7897.56471875
transcript.pyannote[1195].speaker SPEAKER_29
transcript.pyannote[1195].start 7897.02471875
transcript.pyannote[1195].end 7898.15534375
transcript.pyannote[1196].speaker SPEAKER_34
transcript.pyannote[1196].start 7898.15534375
transcript.pyannote[1196].end 7903.16721875
transcript.pyannote[1197].speaker SPEAKER_29
transcript.pyannote[1197].start 7898.18909375
transcript.pyannote[1197].end 7898.57721875
transcript.pyannote[1198].speaker SPEAKER_34
transcript.pyannote[1198].start 7903.43721875
transcript.pyannote[1198].end 7911.97596875
transcript.pyannote[1199].speaker SPEAKER_29
transcript.pyannote[1199].start 7909.95096875
transcript.pyannote[1199].end 7910.22096875
transcript.pyannote[1200].speaker SPEAKER_29
transcript.pyannote[1200].start 7911.85784375
transcript.pyannote[1200].end 7912.19534375
transcript.pyannote[1201].speaker SPEAKER_34
transcript.pyannote[1201].start 7912.19534375
transcript.pyannote[1201].end 7913.78159375
transcript.pyannote[1202].speaker SPEAKER_29
transcript.pyannote[1202].start 7913.59596875
transcript.pyannote[1202].end 7914.23721875
transcript.pyannote[1203].speaker SPEAKER_34
transcript.pyannote[1203].start 7913.81534375
transcript.pyannote[1203].end 7913.83221875
transcript.pyannote[1204].speaker SPEAKER_13
transcript.pyannote[1204].start 7924.86846875
transcript.pyannote[1204].end 7927.18034375
transcript.pyannote[1205].speaker SPEAKER_36
transcript.pyannote[1205].start 7933.87971875
transcript.pyannote[1205].end 7937.84534375
transcript.pyannote[1206].speaker SPEAKER_13
transcript.pyannote[1206].start 7934.53784375
transcript.pyannote[1206].end 7934.57159375
transcript.pyannote[1207].speaker SPEAKER_38
transcript.pyannote[1207].start 7944.81471875
transcript.pyannote[1207].end 7945.33784375
transcript.pyannote[1208].speaker SPEAKER_24
transcript.pyannote[1208].start 7945.30409375
transcript.pyannote[1208].end 7945.32096875
transcript.pyannote[1209].speaker SPEAKER_24
transcript.pyannote[1209].start 7945.33784375
transcript.pyannote[1209].end 7945.38846875
transcript.pyannote[1210].speaker SPEAKER_38
transcript.pyannote[1210].start 7945.38846875
transcript.pyannote[1210].end 7954.02846875
transcript.pyannote[1211].speaker SPEAKER_24
transcript.pyannote[1211].start 7945.40534375
transcript.pyannote[1211].end 7945.77659375
transcript.pyannote[1212].speaker SPEAKER_29
transcript.pyannote[1212].start 7954.26471875
transcript.pyannote[1212].end 7954.65284375
transcript.pyannote[1213].speaker SPEAKER_38
transcript.pyannote[1213].start 7954.77096875
transcript.pyannote[1213].end 7955.24346875
transcript.pyannote[1214].speaker SPEAKER_29
transcript.pyannote[1214].start 7955.51346875
transcript.pyannote[1214].end 7957.04909375
transcript.pyannote[1215].speaker SPEAKER_38
transcript.pyannote[1215].start 7956.03659375
transcript.pyannote[1215].end 7956.91409375
transcript.pyannote[1216].speaker SPEAKER_38
transcript.pyannote[1216].start 7957.45409375
transcript.pyannote[1216].end 7960.96409375
transcript.pyannote[1217].speaker SPEAKER_38
transcript.pyannote[1217].start 7961.58846875
transcript.pyannote[1217].end 7963.39409375
transcript.pyannote[1218].speaker SPEAKER_38
transcript.pyannote[1218].start 7963.73159375
transcript.pyannote[1218].end 7966.17846875
transcript.pyannote[1219].speaker SPEAKER_38
transcript.pyannote[1219].start 7967.14034375
transcript.pyannote[1219].end 7973.77221875
transcript.pyannote[1220].speaker SPEAKER_38
transcript.pyannote[1220].start 7974.71721875
transcript.pyannote[1220].end 7975.81409375
transcript.pyannote[1221].speaker SPEAKER_38
transcript.pyannote[1221].start 7976.38784375
transcript.pyannote[1221].end 7979.35784375
transcript.pyannote[1222].speaker SPEAKER_38
transcript.pyannote[1222].start 7979.98221875
transcript.pyannote[1222].end 7981.61909375
transcript.pyannote[1223].speaker SPEAKER_38
transcript.pyannote[1223].start 7981.85534375
transcript.pyannote[1223].end 7986.07409375
transcript.pyannote[1224].speaker SPEAKER_24
transcript.pyannote[1224].start 7986.07409375
transcript.pyannote[1224].end 7986.51284375
transcript.pyannote[1225].speaker SPEAKER_38
transcript.pyannote[1225].start 7986.44534375
transcript.pyannote[1225].end 7986.93471875
transcript.pyannote[1226].speaker SPEAKER_38
transcript.pyannote[1226].start 7987.25534375
transcript.pyannote[1226].end 7990.25909375
transcript.pyannote[1227].speaker SPEAKER_38
transcript.pyannote[1227].start 7990.59659375
transcript.pyannote[1227].end 7993.44846875
transcript.pyannote[1228].speaker SPEAKER_38
transcript.pyannote[1228].start 7994.07284375
transcript.pyannote[1228].end 7994.51159375
transcript.pyannote[1229].speaker SPEAKER_24
transcript.pyannote[1229].start 7994.62971875
transcript.pyannote[1229].end 7994.66346875
transcript.pyannote[1230].speaker SPEAKER_12
transcript.pyannote[1230].start 7994.66346875
transcript.pyannote[1230].end 7994.89971875
transcript.pyannote[1231].speaker SPEAKER_24
transcript.pyannote[1231].start 7994.89971875
transcript.pyannote[1231].end 7994.91659375
transcript.pyannote[1232].speaker SPEAKER_38
transcript.pyannote[1232].start 7995.05159375
transcript.pyannote[1232].end 7996.89096875
transcript.pyannote[1233].speaker SPEAKER_38
transcript.pyannote[1233].start 7997.38034375
transcript.pyannote[1233].end 7999.06784375
transcript.pyannote[1234].speaker SPEAKER_38
transcript.pyannote[1234].start 8000.18159375
transcript.pyannote[1234].end 8001.61596875
transcript.pyannote[1235].speaker SPEAKER_38
transcript.pyannote[1235].start 8002.22346875
transcript.pyannote[1235].end 8005.32846875
transcript.pyannote[1236].speaker SPEAKER_38
transcript.pyannote[1236].start 8006.15534375
transcript.pyannote[1236].end 8009.32784375
transcript.pyannote[1237].speaker SPEAKER_38
transcript.pyannote[1237].start 8009.83409375
transcript.pyannote[1237].end 8013.54659375
transcript.pyannote[1238].speaker SPEAKER_38
transcript.pyannote[1238].start 8014.28909375
transcript.pyannote[1238].end 8016.14534375
transcript.pyannote[1239].speaker SPEAKER_38
transcript.pyannote[1239].start 8016.60096875
transcript.pyannote[1239].end 8018.23784375
transcript.pyannote[1240].speaker SPEAKER_38
transcript.pyannote[1240].start 8018.50784375
transcript.pyannote[1240].end 8022.84471875
transcript.pyannote[1241].speaker SPEAKER_38
transcript.pyannote[1241].start 8022.89534375
transcript.pyannote[1241].end 8023.78971875
transcript.pyannote[1242].speaker SPEAKER_38
transcript.pyannote[1242].start 8023.89096875
transcript.pyannote[1242].end 8025.98346875
transcript.pyannote[1243].speaker SPEAKER_38
transcript.pyannote[1243].start 8026.11846875
transcript.pyannote[1243].end 8027.08034375
transcript.pyannote[1244].speaker SPEAKER_38
transcript.pyannote[1244].start 8027.65409375
transcript.pyannote[1244].end 8029.76346875
transcript.pyannote[1245].speaker SPEAKER_38
transcript.pyannote[1245].start 8029.78034375
transcript.pyannote[1245].end 8031.09659375
transcript.pyannote[1246].speaker SPEAKER_38
transcript.pyannote[1246].start 8031.53534375
transcript.pyannote[1246].end 8033.03721875
transcript.pyannote[1247].speaker SPEAKER_38
transcript.pyannote[1247].start 8033.25659375
transcript.pyannote[1247].end 8034.74159375
transcript.pyannote[1248].speaker SPEAKER_38
transcript.pyannote[1248].start 8035.45034375
transcript.pyannote[1248].end 8037.34034375
transcript.pyannote[1249].speaker SPEAKER_38
transcript.pyannote[1249].start 8038.30221875
transcript.pyannote[1249].end 8044.00596875
transcript.pyannote[1250].speaker SPEAKER_38
transcript.pyannote[1250].start 8044.54596875
transcript.pyannote[1250].end 8045.92971875
transcript.pyannote[1251].speaker SPEAKER_38
transcript.pyannote[1251].start 8047.04346875
transcript.pyannote[1251].end 8047.95471875
transcript.pyannote[1252].speaker SPEAKER_38
transcript.pyannote[1252].start 8048.10659375
transcript.pyannote[1252].end 8050.18221875
transcript.pyannote[1253].speaker SPEAKER_38
transcript.pyannote[1253].start 8050.75596875
transcript.pyannote[1253].end 8051.34659375
transcript.pyannote[1254].speaker SPEAKER_38
transcript.pyannote[1254].start 8051.59971875
transcript.pyannote[1254].end 8053.75971875
transcript.pyannote[1255].speaker SPEAKER_38
transcript.pyannote[1255].start 8054.14784375
transcript.pyannote[1255].end 8056.29096875
transcript.pyannote[1256].speaker SPEAKER_38
transcript.pyannote[1256].start 8056.86471875
transcript.pyannote[1256].end 8058.29909375
transcript.pyannote[1257].speaker SPEAKER_38
transcript.pyannote[1257].start 8058.77159375
transcript.pyannote[1257].end 8059.54784375
transcript.pyannote[1258].speaker SPEAKER_26
transcript.pyannote[1258].start 8059.49721875
transcript.pyannote[1258].end 8059.95284375
transcript.pyannote[1259].speaker SPEAKER_38
transcript.pyannote[1259].start 8059.78409375
transcript.pyannote[1259].end 8060.76284375
transcript.pyannote[1260].speaker SPEAKER_38
transcript.pyannote[1260].start 8061.53909375
transcript.pyannote[1260].end 8062.78784375
transcript.pyannote[1261].speaker SPEAKER_38
transcript.pyannote[1261].start 8062.99034375
transcript.pyannote[1261].end 8064.77909375
transcript.pyannote[1262].speaker SPEAKER_38
transcript.pyannote[1262].start 8065.23471875
transcript.pyannote[1262].end 8069.79096875
transcript.pyannote[1263].speaker SPEAKER_38
transcript.pyannote[1263].start 8070.31409375
transcript.pyannote[1263].end 8078.21159375
transcript.pyannote[1264].speaker SPEAKER_25
transcript.pyannote[1264].start 8078.56596875
transcript.pyannote[1264].end 8078.90346875
transcript.pyannote[1265].speaker SPEAKER_38
transcript.pyannote[1265].start 8079.13971875
transcript.pyannote[1265].end 8080.25346875
transcript.pyannote[1266].speaker SPEAKER_38
transcript.pyannote[1266].start 8080.86096875
transcript.pyannote[1266].end 8084.69159375
transcript.pyannote[1267].speaker SPEAKER_38
transcript.pyannote[1267].start 8085.16409375
transcript.pyannote[1267].end 8094.19221875
transcript.pyannote[1268].speaker SPEAKER_38
transcript.pyannote[1268].start 8094.69846875
transcript.pyannote[1268].end 8097.28034375
transcript.pyannote[1269].speaker SPEAKER_38
transcript.pyannote[1269].start 8097.80346875
transcript.pyannote[1269].end 8101.44846875
transcript.pyannote[1270].speaker SPEAKER_38
transcript.pyannote[1270].start 8101.85346875
transcript.pyannote[1270].end 8106.03846875
transcript.pyannote[1271].speaker SPEAKER_38
transcript.pyannote[1271].start 8107.21971875
transcript.pyannote[1271].end 8110.59471875
transcript.pyannote[1272].speaker SPEAKER_38
transcript.pyannote[1272].start 8111.26971875
transcript.pyannote[1272].end 8112.67034375
transcript.pyannote[1273].speaker SPEAKER_38
transcript.pyannote[1273].start 8113.61534375
transcript.pyannote[1273].end 8116.02846875
transcript.pyannote[1274].speaker SPEAKER_38
transcript.pyannote[1274].start 8116.51784375
transcript.pyannote[1274].end 8122.25534375
transcript.pyannote[1275].speaker SPEAKER_25
transcript.pyannote[1275].start 8122.40721875
transcript.pyannote[1275].end 8122.77846875
transcript.pyannote[1276].speaker SPEAKER_38
transcript.pyannote[1276].start 8123.18346875
transcript.pyannote[1276].end 8124.39846875
transcript.pyannote[1277].speaker SPEAKER_38
transcript.pyannote[1277].start 8124.71909375
transcript.pyannote[1277].end 8125.36034375
transcript.pyannote[1278].speaker SPEAKER_38
transcript.pyannote[1278].start 8125.88346875
transcript.pyannote[1278].end 8126.38971875
transcript.pyannote[1279].speaker SPEAKER_38
transcript.pyannote[1279].start 8126.65971875
transcript.pyannote[1279].end 8128.63409375
transcript.pyannote[1280].speaker SPEAKER_38
transcript.pyannote[1280].start 8129.35971875
transcript.pyannote[1280].end 8130.13596875
transcript.pyannote[1281].speaker SPEAKER_38
transcript.pyannote[1281].start 8130.55784375
transcript.pyannote[1281].end 8131.62096875
transcript.pyannote[1282].speaker SPEAKER_38
transcript.pyannote[1282].start 8132.07659375
transcript.pyannote[1282].end 8132.70096875
transcript.pyannote[1283].speaker SPEAKER_38
transcript.pyannote[1283].start 8133.15659375
transcript.pyannote[1283].end 8141.00346875
transcript.pyannote[1284].speaker SPEAKER_38
transcript.pyannote[1284].start 8141.32409375
transcript.pyannote[1284].end 8146.48784375
transcript.pyannote[1285].speaker SPEAKER_38
transcript.pyannote[1285].start 8147.43284375
transcript.pyannote[1285].end 8148.32721875
transcript.pyannote[1286].speaker SPEAKER_38
transcript.pyannote[1286].start 8148.49596875
transcript.pyannote[1286].end 8151.07784375
transcript.pyannote[1287].speaker SPEAKER_38
transcript.pyannote[1287].start 8152.12409375
transcript.pyannote[1287].end 8160.17346875
transcript.pyannote[1288].speaker SPEAKER_38
transcript.pyannote[1288].start 8160.57846875
transcript.pyannote[1288].end 8161.79346875
transcript.pyannote[1289].speaker SPEAKER_38
transcript.pyannote[1289].start 8162.45159375
transcript.pyannote[1289].end 8163.90284375
transcript.pyannote[1290].speaker SPEAKER_38
transcript.pyannote[1290].start 8164.59471875
transcript.pyannote[1290].end 8165.65784375
transcript.pyannote[1291].speaker SPEAKER_38
transcript.pyannote[1291].start 8166.28221875
transcript.pyannote[1291].end 8170.18034375
transcript.pyannote[1292].speaker SPEAKER_38
transcript.pyannote[1292].start 8170.77096875
transcript.pyannote[1292].end 8171.24346875
transcript.pyannote[1293].speaker SPEAKER_26
transcript.pyannote[1293].start 8171.54721875
transcript.pyannote[1293].end 8171.78346875
transcript.pyannote[1294].speaker SPEAKER_38
transcript.pyannote[1294].start 8171.96909375
transcript.pyannote[1294].end 8173.08284375
transcript.pyannote[1295].speaker SPEAKER_38
transcript.pyannote[1295].start 8173.57221875
transcript.pyannote[1295].end 8175.95159375
transcript.pyannote[1296].speaker SPEAKER_38
transcript.pyannote[1296].start 8176.44096875
transcript.pyannote[1296].end 8177.80784375
transcript.pyannote[1297].speaker SPEAKER_38
transcript.pyannote[1297].start 8178.38159375
transcript.pyannote[1297].end 8180.99721875
transcript.pyannote[1298].speaker SPEAKER_38
transcript.pyannote[1298].start 8181.58784375
transcript.pyannote[1298].end 8182.83659375
transcript.pyannote[1299].speaker SPEAKER_38
transcript.pyannote[1299].start 8182.85346875
transcript.pyannote[1299].end 8184.08534375
transcript.pyannote[1300].speaker SPEAKER_38
transcript.pyannote[1300].start 8184.43971875
transcript.pyannote[1300].end 8185.26659375
transcript.pyannote[1301].speaker SPEAKER_38
transcript.pyannote[1301].start 8185.53659375
transcript.pyannote[1301].end 8187.25784375
transcript.pyannote[1302].speaker SPEAKER_38
transcript.pyannote[1302].start 8188.20284375
transcript.pyannote[1302].end 8189.24909375
transcript.pyannote[1303].speaker SPEAKER_38
transcript.pyannote[1303].start 8189.67096875
transcript.pyannote[1303].end 8191.03784375
transcript.pyannote[1304].speaker SPEAKER_38
transcript.pyannote[1304].start 8191.10534375
transcript.pyannote[1304].end 8192.11784375
transcript.pyannote[1305].speaker SPEAKER_38
transcript.pyannote[1305].start 8192.50596875
transcript.pyannote[1305].end 8195.74596875
transcript.pyannote[1306].speaker SPEAKER_38
transcript.pyannote[1306].start 8196.11721875
transcript.pyannote[1306].end 8196.15096875
transcript.pyannote[1307].speaker SPEAKER_25
transcript.pyannote[1307].start 8196.15096875
transcript.pyannote[1307].end 8196.28596875
transcript.pyannote[1308].speaker SPEAKER_38
transcript.pyannote[1308].start 8196.28596875
transcript.pyannote[1308].end 8197.55159375
transcript.pyannote[1309].speaker SPEAKER_25
transcript.pyannote[1309].start 8196.48846875
transcript.pyannote[1309].end 8196.69096875
transcript.pyannote[1310].speaker SPEAKER_38
transcript.pyannote[1310].start 8198.47971875
transcript.pyannote[1310].end 8203.60971875
transcript.pyannote[1311].speaker SPEAKER_38
transcript.pyannote[1311].start 8204.21721875
transcript.pyannote[1311].end 8204.84159375
transcript.pyannote[1312].speaker SPEAKER_38
transcript.pyannote[1312].start 8205.28034375
transcript.pyannote[1312].end 8205.92159375
transcript.pyannote[1313].speaker SPEAKER_38
transcript.pyannote[1313].start 8206.09034375
transcript.pyannote[1313].end 8206.93409375
transcript.pyannote[1314].speaker SPEAKER_38
transcript.pyannote[1314].start 8207.65971875
transcript.pyannote[1314].end 8208.53721875
transcript.pyannote[1315].speaker SPEAKER_38
transcript.pyannote[1315].start 8209.71846875
transcript.pyannote[1315].end 8210.29221875
transcript.pyannote[1316].speaker SPEAKER_38
transcript.pyannote[1316].start 8210.49471875
transcript.pyannote[1316].end 8211.33846875
transcript.pyannote[1317].speaker SPEAKER_38
transcript.pyannote[1317].start 8211.59159375
transcript.pyannote[1317].end 8212.50284375
transcript.pyannote[1318].speaker SPEAKER_38
transcript.pyannote[1318].start 8213.07659375
transcript.pyannote[1318].end 8214.57846875
transcript.pyannote[1319].speaker SPEAKER_38
transcript.pyannote[1319].start 8215.37159375
transcript.pyannote[1319].end 8215.84409375
transcript.pyannote[1320].speaker SPEAKER_38
transcript.pyannote[1320].start 8216.38409375
transcript.pyannote[1320].end 8217.48096875
transcript.pyannote[1321].speaker SPEAKER_38
transcript.pyannote[1321].start 8217.63284375
transcript.pyannote[1321].end 8219.01659375
transcript.pyannote[1322].speaker SPEAKER_38
transcript.pyannote[1322].start 8219.37096875
transcript.pyannote[1322].end 8220.41721875
transcript.pyannote[1323].speaker SPEAKER_38
transcript.pyannote[1323].start 8221.07534375
transcript.pyannote[1323].end 8222.83034375
transcript.pyannote[1324].speaker SPEAKER_38
transcript.pyannote[1324].start 8223.65721875
transcript.pyannote[1324].end 8224.01159375
transcript.pyannote[1325].speaker SPEAKER_38
transcript.pyannote[1325].start 8224.39971875
transcript.pyannote[1325].end 8224.72034375
transcript.pyannote[1326].speaker SPEAKER_38
transcript.pyannote[1326].start 8225.47971875
transcript.pyannote[1326].end 8226.82971875
transcript.pyannote[1327].speaker SPEAKER_38
transcript.pyannote[1327].start 8227.43721875
transcript.pyannote[1327].end 8230.44096875
transcript.pyannote[1328].speaker SPEAKER_38
transcript.pyannote[1328].start 8231.16659375
transcript.pyannote[1328].end 8233.14096875
transcript.pyannote[1329].speaker SPEAKER_38
transcript.pyannote[1329].start 8233.41096875
transcript.pyannote[1329].end 8234.01846875
transcript.pyannote[1330].speaker SPEAKER_38
transcript.pyannote[1330].start 8234.55846875
transcript.pyannote[1330].end 8238.42284375
transcript.pyannote[1331].speaker SPEAKER_38
transcript.pyannote[1331].start 8238.97971875
transcript.pyannote[1331].end 8240.90346875
transcript.pyannote[1332].speaker SPEAKER_38
transcript.pyannote[1332].start 8241.30846875
transcript.pyannote[1332].end 8242.81034375
transcript.pyannote[1333].speaker SPEAKER_38
transcript.pyannote[1333].start 8243.85659375
transcript.pyannote[1333].end 8245.81409375
transcript.pyannote[1334].speaker SPEAKER_38
transcript.pyannote[1334].start 8246.59034375
transcript.pyannote[1334].end 8247.68721875
transcript.pyannote[1335].speaker SPEAKER_38
transcript.pyannote[1335].start 8248.46346875
transcript.pyannote[1335].end 8251.85534375
transcript.pyannote[1336].speaker SPEAKER_38
transcript.pyannote[1336].start 8252.76659375
transcript.pyannote[1336].end 8254.03221875
transcript.pyannote[1337].speaker SPEAKER_38
transcript.pyannote[1337].start 8254.23471875
transcript.pyannote[1337].end 8256.10784375
transcript.pyannote[1338].speaker SPEAKER_38
transcript.pyannote[1338].start 8257.28909375
transcript.pyannote[1338].end 8258.72346875
transcript.pyannote[1339].speaker SPEAKER_38
transcript.pyannote[1339].start 8258.87534375
transcript.pyannote[1339].end 8262.18284375
transcript.pyannote[1340].speaker SPEAKER_38
transcript.pyannote[1340].start 8262.73971875
transcript.pyannote[1340].end 8264.74784375
transcript.pyannote[1341].speaker SPEAKER_38
transcript.pyannote[1341].start 8265.32159375
transcript.pyannote[1341].end 8266.23284375
transcript.pyannote[1342].speaker SPEAKER_38
transcript.pyannote[1342].start 8266.46909375
transcript.pyannote[1342].end 8269.84409375
transcript.pyannote[1343].speaker SPEAKER_38
transcript.pyannote[1343].start 8270.14784375
transcript.pyannote[1343].end 8272.39221875
transcript.pyannote[1344].speaker SPEAKER_38
transcript.pyannote[1344].start 8272.83096875
transcript.pyannote[1344].end 8273.84346875
transcript.pyannote[1345].speaker SPEAKER_38
transcript.pyannote[1345].start 8274.11346875
transcript.pyannote[1345].end 8275.53096875
transcript.pyannote[1346].speaker SPEAKER_38
transcript.pyannote[1346].start 8276.54346875
transcript.pyannote[1346].end 8278.38284375
transcript.pyannote[1347].speaker SPEAKER_25
transcript.pyannote[1347].start 8278.83846875
transcript.pyannote[1347].end 8279.10846875
transcript.pyannote[1348].speaker SPEAKER_38
transcript.pyannote[1348].start 8279.59784375
transcript.pyannote[1348].end 8280.32346875
transcript.pyannote[1349].speaker SPEAKER_38
transcript.pyannote[1349].start 8281.04909375
transcript.pyannote[1349].end 8282.44971875
transcript.pyannote[1350].speaker SPEAKER_38
transcript.pyannote[1350].start 8283.02346875
transcript.pyannote[1350].end 8287.84971875
transcript.pyannote[1351].speaker SPEAKER_38
transcript.pyannote[1351].start 8288.60909375
transcript.pyannote[1351].end 8290.90409375
transcript.pyannote[1352].speaker SPEAKER_38
transcript.pyannote[1352].start 8291.68034375
transcript.pyannote[1352].end 8294.09346875
transcript.pyannote[1353].speaker SPEAKER_38
transcript.pyannote[1353].start 8295.05534375
transcript.pyannote[1353].end 8295.56159375
transcript.pyannote[1354].speaker SPEAKER_38
transcript.pyannote[1354].start 8295.93284375
transcript.pyannote[1354].end 8295.96659375
transcript.pyannote[1355].speaker SPEAKER_29
transcript.pyannote[1355].start 8295.96659375
transcript.pyannote[1355].end 8296.79346875
transcript.pyannote[1356].speaker SPEAKER_38
transcript.pyannote[1356].start 8295.98346875
transcript.pyannote[1356].end 8296.81034375
transcript.pyannote[1357].speaker SPEAKER_29
transcript.pyannote[1357].start 8296.81034375
transcript.pyannote[1357].end 8296.86096875
transcript.pyannote[1358].speaker SPEAKER_29
transcript.pyannote[1358].start 8296.89471875
transcript.pyannote[1358].end 8312.13284375
transcript.pyannote[1359].speaker SPEAKER_38
transcript.pyannote[1359].start 8310.44534375
transcript.pyannote[1359].end 8312.74034375
transcript.pyannote[1360].speaker SPEAKER_29
transcript.pyannote[1360].start 8312.74034375
transcript.pyannote[1360].end 8312.80784375
transcript.pyannote[1361].speaker SPEAKER_29
transcript.pyannote[1361].start 8313.04409375
transcript.pyannote[1361].end 8315.79471875
transcript.pyannote[1362].speaker SPEAKER_38
transcript.pyannote[1362].start 8313.07784375
transcript.pyannote[1362].end 8313.12846875
transcript.pyannote[1363].speaker SPEAKER_38
transcript.pyannote[1363].start 8313.14534375
transcript.pyannote[1363].end 8313.28034375
transcript.pyannote[1364].speaker SPEAKER_38
transcript.pyannote[1364].start 8314.90034375
transcript.pyannote[1364].end 8318.32596875
transcript.pyannote[1365].speaker SPEAKER_38
transcript.pyannote[1365].start 8318.54534375
transcript.pyannote[1365].end 8319.67596875
transcript.pyannote[1366].speaker SPEAKER_38
transcript.pyannote[1366].start 8320.77284375
transcript.pyannote[1366].end 8322.13971875
transcript.pyannote[1367].speaker SPEAKER_38
transcript.pyannote[1367].start 8322.61221875
transcript.pyannote[1367].end 8323.42221875
transcript.pyannote[1368].speaker SPEAKER_24
transcript.pyannote[1368].start 8324.26596875
transcript.pyannote[1368].end 8324.29971875
transcript.pyannote[1369].speaker SPEAKER_26
transcript.pyannote[1369].start 8324.29971875
transcript.pyannote[1369].end 8324.58659375
transcript.pyannote[1370].speaker SPEAKER_38
transcript.pyannote[1370].start 8324.63721875
transcript.pyannote[1370].end 8326.67909375
transcript.pyannote[1371].speaker SPEAKER_26
transcript.pyannote[1371].start 8326.84784375
transcript.pyannote[1371].end 8327.06721875
transcript.pyannote[1372].speaker SPEAKER_38
transcript.pyannote[1372].start 8327.06721875
transcript.pyannote[1372].end 8328.45096875
transcript.pyannote[1373].speaker SPEAKER_26
transcript.pyannote[1373].start 8327.08409375
transcript.pyannote[1373].end 8327.20221875
transcript.pyannote[1374].speaker SPEAKER_38
transcript.pyannote[1374].start 8329.71659375
transcript.pyannote[1374].end 8335.58909375
transcript.pyannote[1375].speaker SPEAKER_25
transcript.pyannote[1375].start 8335.82534375
transcript.pyannote[1375].end 8336.41596875
transcript.pyannote[1376].speaker SPEAKER_38
transcript.pyannote[1376].start 8336.14596875
transcript.pyannote[1376].end 8339.14971875
transcript.pyannote[1377].speaker SPEAKER_25
transcript.pyannote[1377].start 8336.85471875
transcript.pyannote[1377].end 8337.20909375
transcript.pyannote[1378].speaker SPEAKER_38
transcript.pyannote[1378].start 8339.62221875
transcript.pyannote[1378].end 8344.68471875
transcript.pyannote[1379].speaker SPEAKER_25
transcript.pyannote[1379].start 8344.98846875
transcript.pyannote[1379].end 8345.03909375
transcript.pyannote[1380].speaker SPEAKER_03
transcript.pyannote[1380].start 8345.03909375
transcript.pyannote[1380].end 8345.24159375
transcript.pyannote[1381].speaker SPEAKER_38
transcript.pyannote[1381].start 8345.14034375
transcript.pyannote[1381].end 8346.35534375
transcript.pyannote[1382].speaker SPEAKER_25
transcript.pyannote[1382].start 8345.24159375
transcript.pyannote[1382].end 8345.25846875
transcript.pyannote[1383].speaker SPEAKER_03
transcript.pyannote[1383].start 8345.25846875
transcript.pyannote[1383].end 8345.27534375
transcript.pyannote[1384].speaker SPEAKER_38
transcript.pyannote[1384].start 8347.33409375
transcript.pyannote[1384].end 8348.43096875
transcript.pyannote[1385].speaker SPEAKER_38
transcript.pyannote[1385].start 8348.61659375
transcript.pyannote[1385].end 8349.79784375
transcript.pyannote[1386].speaker SPEAKER_38
transcript.pyannote[1386].start 8349.81471875
transcript.pyannote[1386].end 8350.65846875
transcript.pyannote[1387].speaker SPEAKER_38
transcript.pyannote[1387].start 8351.28284375
transcript.pyannote[1387].end 8351.75534375
transcript.pyannote[1388].speaker SPEAKER_38
transcript.pyannote[1388].start 8353.03784375
transcript.pyannote[1388].end 8354.40471875
transcript.pyannote[1389].speaker SPEAKER_38
transcript.pyannote[1389].start 8354.74221875
transcript.pyannote[1389].end 8358.70784375
transcript.pyannote[1390].speaker SPEAKER_29
transcript.pyannote[1390].start 8358.65721875
transcript.pyannote[1390].end 8358.69096875
transcript.pyannote[1391].speaker SPEAKER_29
transcript.pyannote[1391].start 8358.70784375
transcript.pyannote[1391].end 8367.78659375
transcript.pyannote[1392].speaker SPEAKER_38
transcript.pyannote[1392].start 8365.33971875
transcript.pyannote[1392].end 8366.62221875
transcript.pyannote[1393].speaker SPEAKER_38
transcript.pyannote[1393].start 8367.28034375
transcript.pyannote[1393].end 8371.06034375
transcript.pyannote[1394].speaker SPEAKER_29
transcript.pyannote[1394].start 8371.06034375
transcript.pyannote[1394].end 8371.36409375
transcript.pyannote[1395].speaker SPEAKER_25
transcript.pyannote[1395].start 8371.06034375
transcript.pyannote[1395].end 8371.54971875
transcript.pyannote[1396].speaker SPEAKER_38
transcript.pyannote[1396].start 8371.36409375
transcript.pyannote[1396].end 8371.92096875
transcript.pyannote[1397].speaker SPEAKER_29
transcript.pyannote[1397].start 8371.54971875
transcript.pyannote[1397].end 8371.61721875
transcript.pyannote[1398].speaker SPEAKER_38
transcript.pyannote[1398].start 8372.51159375
transcript.pyannote[1398].end 8374.01346875
transcript.pyannote[1399].speaker SPEAKER_25
transcript.pyannote[1399].start 8374.01346875
transcript.pyannote[1399].end 8374.40159375
transcript.pyannote[1400].speaker SPEAKER_38
transcript.pyannote[1400].start 8374.43534375
transcript.pyannote[1400].end 8377.62471875
transcript.pyannote[1401].speaker SPEAKER_38
transcript.pyannote[1401].start 8378.40096875
transcript.pyannote[1401].end 8380.24034375
transcript.pyannote[1402].speaker SPEAKER_38
transcript.pyannote[1402].start 8380.81409375
transcript.pyannote[1402].end 8385.01596875
transcript.pyannote[1403].speaker SPEAKER_26
transcript.pyannote[1403].start 8385.10034375
transcript.pyannote[1403].end 8385.45471875
transcript.pyannote[1404].speaker SPEAKER_38
transcript.pyannote[1404].start 8385.89346875
transcript.pyannote[1404].end 8387.19284375
transcript.pyannote[1405].speaker SPEAKER_38
transcript.pyannote[1405].start 8387.51346875
transcript.pyannote[1405].end 8388.93096875
transcript.pyannote[1406].speaker SPEAKER_26
transcript.pyannote[1406].start 8389.03221875
transcript.pyannote[1406].end 8389.38659375
transcript.pyannote[1407].speaker SPEAKER_38
transcript.pyannote[1407].start 8389.28534375
transcript.pyannote[1407].end 8390.60159375
transcript.pyannote[1408].speaker SPEAKER_26
transcript.pyannote[1408].start 8390.70284375
transcript.pyannote[1408].end 8391.10784375
transcript.pyannote[1409].speaker SPEAKER_38
transcript.pyannote[1409].start 8391.09096875
transcript.pyannote[1409].end 8392.89659375
transcript.pyannote[1410].speaker SPEAKER_26
transcript.pyannote[1410].start 8392.89659375
transcript.pyannote[1410].end 8393.20034375
transcript.pyannote[1411].speaker SPEAKER_38
transcript.pyannote[1411].start 8393.74034375
transcript.pyannote[1411].end 8399.25846875
transcript.pyannote[1412].speaker SPEAKER_38
transcript.pyannote[1412].start 8399.35971875
transcript.pyannote[1412].end 8405.77221875
transcript.pyannote[1413].speaker SPEAKER_29
transcript.pyannote[1413].start 8403.59534375
transcript.pyannote[1413].end 8404.11846875
transcript.pyannote[1414].speaker SPEAKER_29
transcript.pyannote[1414].start 8405.77221875
transcript.pyannote[1414].end 8405.78909375
transcript.pyannote[1415].speaker SPEAKER_29
transcript.pyannote[1415].start 8406.56534375
transcript.pyannote[1415].end 8408.91096875
transcript.pyannote[1416].speaker SPEAKER_38
transcript.pyannote[1416].start 8408.91096875
transcript.pyannote[1416].end 8414.44596875
transcript.pyannote[1417].speaker SPEAKER_38
transcript.pyannote[1417].start 8415.50909375
transcript.pyannote[1417].end 8416.80846875
transcript.pyannote[1418].speaker SPEAKER_29
transcript.pyannote[1418].start 8417.71971875
transcript.pyannote[1418].end 8419.12034375
transcript.pyannote[1419].speaker SPEAKER_38
transcript.pyannote[1419].start 8419.12034375
transcript.pyannote[1419].end 8419.13721875
transcript.pyannote[1420].speaker SPEAKER_38
transcript.pyannote[1420].start 8419.18784375
transcript.pyannote[1420].end 8421.65159375
transcript.pyannote[1421].speaker SPEAKER_29
transcript.pyannote[1421].start 8421.65159375
transcript.pyannote[1421].end 8427.08534375
transcript.pyannote[1422].speaker SPEAKER_38
transcript.pyannote[1422].start 8422.37721875
transcript.pyannote[1422].end 8423.11971875
transcript.pyannote[1423].speaker SPEAKER_38
transcript.pyannote[1423].start 8425.60034375
transcript.pyannote[1423].end 8428.90784375
transcript.pyannote[1424].speaker SPEAKER_38
transcript.pyannote[1424].start 8429.93721875
transcript.pyannote[1424].end 8433.98721875
transcript.pyannote[1425].speaker SPEAKER_38
transcript.pyannote[1425].start 8435.42159375
transcript.pyannote[1425].end 8437.63221875
transcript.pyannote[1426].speaker SPEAKER_38
transcript.pyannote[1426].start 8438.35784375
transcript.pyannote[1426].end 8440.90596875
transcript.pyannote[1427].speaker SPEAKER_38
transcript.pyannote[1427].start 8441.98596875
transcript.pyannote[1427].end 8442.82971875
transcript.pyannote[1428].speaker SPEAKER_38
transcript.pyannote[1428].start 8443.45409375
transcript.pyannote[1428].end 8444.43284375
transcript.pyannote[1429].speaker SPEAKER_38
transcript.pyannote[1429].start 8445.00659375
transcript.pyannote[1429].end 8447.43659375
transcript.pyannote[1430].speaker SPEAKER_38
transcript.pyannote[1430].start 8448.01034375
transcript.pyannote[1430].end 8449.71471875
transcript.pyannote[1431].speaker SPEAKER_38
transcript.pyannote[1431].start 8450.17034375
transcript.pyannote[1431].end 8450.86221875
transcript.pyannote[1432].speaker SPEAKER_38
transcript.pyannote[1432].start 8451.82409375
transcript.pyannote[1432].end 8452.21221875
transcript.pyannote[1433].speaker SPEAKER_38
transcript.pyannote[1433].start 8452.87034375
transcript.pyannote[1433].end 8454.30471875
transcript.pyannote[1434].speaker SPEAKER_38
transcript.pyannote[1434].start 8454.87846875
transcript.pyannote[1434].end 8456.95409375
transcript.pyannote[1435].speaker SPEAKER_38
transcript.pyannote[1435].start 8457.22409375
transcript.pyannote[1435].end 8458.30409375
transcript.pyannote[1436].speaker SPEAKER_38
transcript.pyannote[1436].start 8459.24909375
transcript.pyannote[1436].end 8460.93659375
transcript.pyannote[1437].speaker SPEAKER_38
transcript.pyannote[1437].start 8461.84784375
transcript.pyannote[1437].end 8464.42971875
transcript.pyannote[1438].speaker SPEAKER_38
transcript.pyannote[1438].start 8464.83471875
transcript.pyannote[1438].end 8467.16346875
transcript.pyannote[1439].speaker SPEAKER_38
transcript.pyannote[1439].start 8467.24784375
transcript.pyannote[1439].end 8469.32346875
transcript.pyannote[1440].speaker SPEAKER_38
transcript.pyannote[1440].start 8469.89721875
transcript.pyannote[1440].end 8470.97721875
transcript.pyannote[1441].speaker SPEAKER_38
transcript.pyannote[1441].start 8471.23034375
transcript.pyannote[1441].end 8472.49596875
transcript.pyannote[1442].speaker SPEAKER_25
transcript.pyannote[1442].start 8472.78284375
transcript.pyannote[1442].end 8473.99784375
transcript.pyannote[1443].speaker SPEAKER_38
transcript.pyannote[1443].start 8473.49159375
transcript.pyannote[1443].end 8474.70659375
transcript.pyannote[1444].speaker SPEAKER_38
transcript.pyannote[1444].start 8474.99346875
transcript.pyannote[1444].end 8477.17034375
transcript.pyannote[1445].speaker SPEAKER_38
transcript.pyannote[1445].start 8477.57534375
transcript.pyannote[1445].end 8481.91221875
transcript.pyannote[1446].speaker SPEAKER_38
transcript.pyannote[1446].start 8482.53659375
transcript.pyannote[1446].end 8485.57409375
transcript.pyannote[1447].speaker SPEAKER_26
transcript.pyannote[1447].start 8485.70909375
transcript.pyannote[1447].end 8486.08034375
transcript.pyannote[1448].speaker SPEAKER_38
transcript.pyannote[1448].start 8486.08034375
transcript.pyannote[1448].end 8488.47659375
transcript.pyannote[1449].speaker SPEAKER_26
transcript.pyannote[1449].start 8486.09721875
transcript.pyannote[1449].end 8486.19846875
transcript.pyannote[1450].speaker SPEAKER_38
transcript.pyannote[1450].start 8489.08409375
transcript.pyannote[1450].end 8492.76284375
transcript.pyannote[1451].speaker SPEAKER_38
transcript.pyannote[1451].start 8492.81346875
transcript.pyannote[1451].end 8494.87221875
transcript.pyannote[1452].speaker SPEAKER_38
transcript.pyannote[1452].start 8495.68221875
transcript.pyannote[1452].end 8497.31909375
transcript.pyannote[1453].speaker SPEAKER_38
transcript.pyannote[1453].start 8498.50034375
transcript.pyannote[1453].end 8502.66846875
transcript.pyannote[1454].speaker SPEAKER_38
transcript.pyannote[1454].start 8503.61346875
transcript.pyannote[1454].end 8511.78096875
transcript.pyannote[1455].speaker SPEAKER_38
transcript.pyannote[1455].start 8512.42221875
transcript.pyannote[1455].end 8514.75096875
transcript.pyannote[1456].speaker SPEAKER_38
transcript.pyannote[1456].start 8515.71284375
transcript.pyannote[1456].end 8517.88971875
transcript.pyannote[1457].speaker SPEAKER_38
transcript.pyannote[1457].start 8518.09221875
transcript.pyannote[1457].end 8520.60659375
transcript.pyannote[1458].speaker SPEAKER_38
transcript.pyannote[1458].start 8521.04534375
transcript.pyannote[1458].end 8521.58534375
transcript.pyannote[1459].speaker SPEAKER_38
transcript.pyannote[1459].start 8521.85534375
transcript.pyannote[1459].end 8522.74971875
transcript.pyannote[1460].speaker SPEAKER_38
transcript.pyannote[1460].start 8523.47534375
transcript.pyannote[1460].end 8524.65659375
transcript.pyannote[1461].speaker SPEAKER_38
transcript.pyannote[1461].start 8525.11221875
transcript.pyannote[1461].end 8526.68159375
transcript.pyannote[1462].speaker SPEAKER_38
transcript.pyannote[1462].start 8526.90096875
transcript.pyannote[1462].end 8528.21721875
transcript.pyannote[1463].speaker SPEAKER_38
transcript.pyannote[1463].start 8529.56721875
transcript.pyannote[1463].end 8531.77784375
transcript.pyannote[1464].speaker SPEAKER_38
transcript.pyannote[1464].start 8531.92971875
transcript.pyannote[1464].end 8533.66784375
transcript.pyannote[1465].speaker SPEAKER_38
transcript.pyannote[1465].start 8534.17409375
transcript.pyannote[1465].end 8536.14846875
transcript.pyannote[1466].speaker SPEAKER_38
transcript.pyannote[1466].start 8537.26221875
transcript.pyannote[1466].end 8538.22409375
transcript.pyannote[1467].speaker SPEAKER_38
transcript.pyannote[1467].start 8538.32534375
transcript.pyannote[1467].end 8540.35034375
transcript.pyannote[1468].speaker SPEAKER_25
transcript.pyannote[1468].start 8540.90721875
transcript.pyannote[1468].end 8541.02534375
transcript.pyannote[1469].speaker SPEAKER_38
transcript.pyannote[1469].start 8541.31221875
transcript.pyannote[1469].end 8542.67909375
transcript.pyannote[1470].speaker SPEAKER_38
transcript.pyannote[1470].start 8543.57346875
transcript.pyannote[1470].end 8545.39596875
transcript.pyannote[1471].speaker SPEAKER_25
transcript.pyannote[1471].start 8545.42971875
transcript.pyannote[1471].end 8546.03721875
transcript.pyannote[1472].speaker SPEAKER_38
transcript.pyannote[1472].start 8546.40846875
transcript.pyannote[1472].end 8549.51346875
transcript.pyannote[1473].speaker SPEAKER_38
transcript.pyannote[1473].start 8549.74971875
transcript.pyannote[1473].end 8551.04909375
transcript.pyannote[1474].speaker SPEAKER_38
transcript.pyannote[1474].start 8552.29784375
transcript.pyannote[1474].end 8554.52534375
transcript.pyannote[1475].speaker SPEAKER_38
transcript.pyannote[1475].start 8554.55909375
transcript.pyannote[1475].end 8558.54159375
transcript.pyannote[1476].speaker SPEAKER_26
transcript.pyannote[1476].start 8554.94721875
transcript.pyannote[1476].end 8554.98096875
transcript.pyannote[1477].speaker SPEAKER_26
transcript.pyannote[1477].start 8555.92596875
transcript.pyannote[1477].end 8555.94284375
transcript.pyannote[1478].speaker SPEAKER_26
transcript.pyannote[1478].start 8556.04409375
transcript.pyannote[1478].end 8556.28034375
transcript.pyannote[1479].speaker SPEAKER_26
transcript.pyannote[1479].start 8556.51659375
transcript.pyannote[1479].end 8556.61784375
transcript.pyannote[1480].speaker SPEAKER_24
transcript.pyannote[1480].start 8558.54159375
transcript.pyannote[1480].end 8558.77784375
transcript.pyannote[1481].speaker SPEAKER_38
transcript.pyannote[1481].start 8558.77784375
transcript.pyannote[1481].end 8558.82846875
transcript.pyannote[1482].speaker SPEAKER_38
transcript.pyannote[1482].start 8559.14909375
transcript.pyannote[1482].end 8559.68909375
transcript.pyannote[1483].speaker SPEAKER_38
transcript.pyannote[1483].start 8559.92534375
transcript.pyannote[1483].end 8563.43534375
transcript.pyannote[1484].speaker SPEAKER_38
transcript.pyannote[1484].start 8564.31284375
transcript.pyannote[1484].end 8568.61596875
transcript.pyannote[1485].speaker SPEAKER_38
transcript.pyannote[1485].start 8568.86909375
transcript.pyannote[1485].end 8571.09659375
transcript.pyannote[1486].speaker SPEAKER_12
transcript.pyannote[1486].start 8570.35409375
transcript.pyannote[1486].end 8570.65784375
transcript.pyannote[1487].speaker SPEAKER_12
transcript.pyannote[1487].start 8571.09659375
transcript.pyannote[1487].end 8571.24846875
transcript.pyannote[1488].speaker SPEAKER_38
transcript.pyannote[1488].start 8571.24846875
transcript.pyannote[1488].end 8571.26534375
transcript.pyannote[1489].speaker SPEAKER_38
transcript.pyannote[1489].start 8571.56909375
transcript.pyannote[1489].end 8580.14159375
transcript.pyannote[1490].speaker SPEAKER_38
transcript.pyannote[1490].start 8580.61409375
transcript.pyannote[1490].end 8584.30971875
transcript.pyannote[1491].speaker SPEAKER_29
transcript.pyannote[1491].start 8583.76971875
transcript.pyannote[1491].end 8583.82034375
transcript.pyannote[1492].speaker SPEAKER_12
transcript.pyannote[1492].start 8583.82034375
transcript.pyannote[1492].end 8584.02284375
transcript.pyannote[1493].speaker SPEAKER_29
transcript.pyannote[1493].start 8584.02284375
transcript.pyannote[1493].end 8584.20846875
transcript.pyannote[1494].speaker SPEAKER_29
transcript.pyannote[1494].start 8584.30971875
transcript.pyannote[1494].end 8584.47846875
transcript.pyannote[1495].speaker SPEAKER_38
transcript.pyannote[1495].start 8584.47846875
transcript.pyannote[1495].end 8584.51221875
transcript.pyannote[1496].speaker SPEAKER_29
transcript.pyannote[1496].start 8584.51221875
transcript.pyannote[1496].end 8584.86659375
transcript.pyannote[1497].speaker SPEAKER_38
transcript.pyannote[1497].start 8584.66409375
transcript.pyannote[1497].end 8586.58784375
transcript.pyannote[1498].speaker SPEAKER_29
transcript.pyannote[1498].start 8586.58784375
transcript.pyannote[1498].end 8586.63846875
transcript.pyannote[1499].speaker SPEAKER_38
transcript.pyannote[1499].start 8586.63846875
transcript.pyannote[1499].end 8588.37659375
transcript.pyannote[1500].speaker SPEAKER_38
transcript.pyannote[1500].start 8588.69721875
transcript.pyannote[1500].end 8589.49034375
transcript.pyannote[1501].speaker SPEAKER_13
transcript.pyannote[1501].start 8595.24471875
transcript.pyannote[1501].end 8596.88159375
transcript.pyannote[1502].speaker SPEAKER_24
transcript.pyannote[1502].start 8756.97471875
transcript.pyannote[1502].end 8757.02534375
transcript.pyannote[1503].speaker SPEAKER_24
transcript.pyannote[1503].start 8757.27846875
transcript.pyannote[1503].end 8760.13034375
transcript.pyannote[1504].speaker SPEAKER_12
transcript.pyannote[1504].start 8758.15596875
transcript.pyannote[1504].end 8759.21909375
transcript.pyannote[1505].speaker SPEAKER_12
transcript.pyannote[1505].start 8759.59034375
transcript.pyannote[1505].end 8759.60721875
transcript.pyannote[1506].speaker SPEAKER_24
transcript.pyannote[1506].start 8762.66159375
transcript.pyannote[1506].end 8762.71221875
transcript.pyannote[1507].speaker SPEAKER_12
transcript.pyannote[1507].start 8762.71221875
transcript.pyannote[1507].end 8762.93159375
transcript.pyannote[1508].speaker SPEAKER_24
transcript.pyannote[1508].start 8762.93159375
transcript.pyannote[1508].end 8764.23096875
transcript.pyannote[1509].speaker SPEAKER_13
transcript.pyannote[1509].start 9242.36721875
transcript.pyannote[1509].end 9247.42971875
transcript.pyannote[1510].speaker SPEAKER_13
transcript.pyannote[1510].start 9247.83471875
transcript.pyannote[1510].end 9258.87096875
transcript.pyannote[1511].speaker SPEAKER_13
transcript.pyannote[1511].start 9265.75596875
transcript.pyannote[1511].end 9267.29159375
transcript.pyannote[1512].speaker SPEAKER_13
transcript.pyannote[1512].start 9267.67971875
transcript.pyannote[1512].end 9269.19846875
transcript.pyannote[1513].speaker SPEAKER_13
transcript.pyannote[1513].start 9269.35034375
transcript.pyannote[1513].end 9271.13909375
transcript.pyannote[1514].speaker SPEAKER_13
transcript.pyannote[1514].start 9271.51034375
transcript.pyannote[1514].end 9271.69596875
transcript.pyannote[1515].speaker SPEAKER_01
transcript.pyannote[1515].start 9275.27346875
transcript.pyannote[1515].end 9281.21346875
transcript.pyannote[1516].speaker SPEAKER_01
transcript.pyannote[1516].start 9281.48346875
transcript.pyannote[1516].end 9283.69409375
transcript.pyannote[1517].speaker SPEAKER_01
transcript.pyannote[1517].start 9283.96409375
transcript.pyannote[1517].end 9300.04596875
transcript.pyannote[1518].speaker SPEAKER_01
transcript.pyannote[1518].start 9300.29909375
transcript.pyannote[1518].end 9308.71971875
transcript.pyannote[1519].speaker SPEAKER_01
transcript.pyannote[1519].start 9309.10784375
transcript.pyannote[1519].end 9310.28909375
transcript.pyannote[1520].speaker SPEAKER_01
transcript.pyannote[1520].start 9311.72346875
transcript.pyannote[1520].end 9320.34659375
transcript.pyannote[1521].speaker SPEAKER_01
transcript.pyannote[1521].start 9320.43096875
transcript.pyannote[1521].end 9320.48159375
transcript.pyannote[1522].speaker SPEAKER_01
transcript.pyannote[1522].start 9320.56596875
transcript.pyannote[1522].end 9348.34221875
transcript.pyannote[1523].speaker SPEAKER_01
transcript.pyannote[1523].start 9348.67971875
transcript.pyannote[1523].end 9357.13409375
transcript.pyannote[1524].speaker SPEAKER_13
transcript.pyannote[1524].start 9360.12096875
transcript.pyannote[1524].end 9362.50034375
transcript.pyannote[1525].speaker SPEAKER_06
transcript.pyannote[1525].start 9362.61846875
transcript.pyannote[1525].end 9375.81471875
transcript.pyannote[1526].speaker SPEAKER_13
transcript.pyannote[1526].start 9376.37159375
transcript.pyannote[1526].end 9377.11409375
transcript.pyannote[1527].speaker SPEAKER_13
transcript.pyannote[1527].start 9377.36721875
transcript.pyannote[1527].end 9379.45971875
transcript.pyannote[1528].speaker SPEAKER_13
transcript.pyannote[1528].start 9379.99971875
transcript.pyannote[1528].end 9380.62409375
transcript.pyannote[1529].speaker SPEAKER_13
transcript.pyannote[1529].start 9381.29909375
transcript.pyannote[1529].end 9381.70409375
transcript.pyannote[1530].speaker SPEAKER_13
transcript.pyannote[1530].start 9382.27784375
transcript.pyannote[1530].end 9383.12159375
transcript.pyannote[1531].speaker SPEAKER_16
transcript.pyannote[1531].start 9382.29471875
transcript.pyannote[1531].end 9383.56034375
transcript.pyannote[1532].speaker SPEAKER_16
transcript.pyannote[1532].start 9384.65721875
transcript.pyannote[1532].end 9399.27096875
transcript.pyannote[1533].speaker SPEAKER_00
transcript.pyannote[1533].start 9398.59596875
transcript.pyannote[1533].end 9398.69721875
transcript.pyannote[1534].speaker SPEAKER_16
transcript.pyannote[1534].start 9399.57471875
transcript.pyannote[1534].end 9405.91971875
transcript.pyannote[1535].speaker SPEAKER_16
transcript.pyannote[1535].start 9407.84346875
transcript.pyannote[1535].end 9408.31596875
transcript.pyannote[1536].speaker SPEAKER_16
transcript.pyannote[1536].start 9408.88971875
transcript.pyannote[1536].end 9409.39596875
transcript.pyannote[1537].speaker SPEAKER_16
transcript.pyannote[1537].start 9410.35784375
transcript.pyannote[1537].end 9412.45034375
transcript.pyannote[1538].speaker SPEAKER_16
transcript.pyannote[1538].start 9412.73721875
transcript.pyannote[1538].end 9414.82971875
transcript.pyannote[1539].speaker SPEAKER_16
transcript.pyannote[1539].start 9414.96471875
transcript.pyannote[1539].end 9415.75784375
transcript.pyannote[1540].speaker SPEAKER_13
transcript.pyannote[1540].start 9416.11221875
transcript.pyannote[1540].end 9419.36909375
transcript.pyannote[1541].speaker SPEAKER_13
transcript.pyannote[1541].start 9419.74034375
transcript.pyannote[1541].end 9420.21284375
transcript.pyannote[1542].speaker SPEAKER_13
transcript.pyannote[1542].start 9420.70221875
transcript.pyannote[1542].end 9421.05659375
transcript.pyannote[1543].speaker SPEAKER_13
transcript.pyannote[1543].start 9421.22534375
transcript.pyannote[1543].end 9423.31784375
transcript.pyannote[1544].speaker SPEAKER_13
transcript.pyannote[1544].start 9424.12784375
transcript.pyannote[1544].end 9426.33846875
transcript.pyannote[1545].speaker SPEAKER_13
transcript.pyannote[1545].start 9426.55784375
transcript.pyannote[1545].end 9427.21596875
transcript.pyannote[1546].speaker SPEAKER_13
transcript.pyannote[1546].start 9427.87409375
transcript.pyannote[1546].end 9428.09346875
transcript.pyannote[1547].speaker SPEAKER_13
transcript.pyannote[1547].start 9428.66721875
transcript.pyannote[1547].end 9430.37159375
transcript.pyannote[1548].speaker SPEAKER_13
transcript.pyannote[1548].start 9430.86096875
transcript.pyannote[1548].end 9432.22784375
transcript.pyannote[1549].speaker SPEAKER_13
transcript.pyannote[1549].start 9432.58221875
transcript.pyannote[1549].end 9433.86471875
transcript.pyannote[1550].speaker SPEAKER_13
transcript.pyannote[1550].start 9435.31596875
transcript.pyannote[1550].end 9436.15971875
transcript.pyannote[1551].speaker SPEAKER_13
transcript.pyannote[1551].start 9436.34534375
transcript.pyannote[1551].end 9446.36909375
transcript.pyannote[1552].speaker SPEAKER_13
transcript.pyannote[1552].start 9446.85846875
transcript.pyannote[1552].end 9448.27596875
transcript.pyannote[1553].speaker SPEAKER_40
transcript.pyannote[1553].start 9456.73034375
transcript.pyannote[1553].end 9459.07596875
transcript.pyannote[1554].speaker SPEAKER_40
transcript.pyannote[1554].start 9459.34596875
transcript.pyannote[1554].end 9460.07159375
transcript.pyannote[1555].speaker SPEAKER_40
transcript.pyannote[1555].start 9466.90596875
transcript.pyannote[1555].end 9505.38096875
transcript.pyannote[1556].speaker SPEAKER_40
transcript.pyannote[1556].start 9505.41471875
transcript.pyannote[1556].end 9506.69721875
transcript.pyannote[1557].speaker SPEAKER_40
transcript.pyannote[1557].start 9507.03471875
transcript.pyannote[1557].end 9509.34659375
transcript.pyannote[1558].speaker SPEAKER_40
transcript.pyannote[1558].start 9510.03846875
transcript.pyannote[1558].end 9516.88971875
transcript.pyannote[1559].speaker SPEAKER_40
transcript.pyannote[1559].start 9517.27784375
transcript.pyannote[1559].end 9551.50034375
transcript.pyannote[1560].speaker SPEAKER_40
transcript.pyannote[1560].start 9552.19221875
transcript.pyannote[1560].end 9561.87846875
transcript.pyannote[1561].speaker SPEAKER_40
transcript.pyannote[1561].start 9562.16534375
transcript.pyannote[1561].end 9582.70221875
transcript.pyannote[1562].speaker SPEAKER_40
transcript.pyannote[1562].start 9582.93846875
transcript.pyannote[1562].end 9585.03096875
transcript.pyannote[1563].speaker SPEAKER_24
transcript.pyannote[1563].start 9585.11534375
transcript.pyannote[1563].end 9585.52034375
transcript.pyannote[1564].speaker SPEAKER_40
transcript.pyannote[1564].start 9585.33471875
transcript.pyannote[1564].end 9593.63721875
transcript.pyannote[1565].speaker SPEAKER_40
transcript.pyannote[1565].start 9594.05909375
transcript.pyannote[1565].end 9594.49784375
transcript.pyannote[1566].speaker SPEAKER_40
transcript.pyannote[1566].start 9595.10534375
transcript.pyannote[1566].end 9595.94909375
transcript.pyannote[1567].speaker SPEAKER_40
transcript.pyannote[1567].start 9596.35409375
transcript.pyannote[1567].end 9597.56909375
transcript.pyannote[1568].speaker SPEAKER_40
transcript.pyannote[1568].start 9598.41284375
transcript.pyannote[1568].end 9612.85784375
transcript.pyannote[1569].speaker SPEAKER_12
transcript.pyannote[1569].start 9608.94284375
transcript.pyannote[1569].end 9608.95971875
transcript.pyannote[1570].speaker SPEAKER_26
transcript.pyannote[1570].start 9608.95971875
transcript.pyannote[1570].end 9609.26346875
transcript.pyannote[1571].speaker SPEAKER_12
transcript.pyannote[1571].start 9609.26346875
transcript.pyannote[1571].end 9609.28034375
transcript.pyannote[1572].speaker SPEAKER_40
transcript.pyannote[1572].start 9613.24596875
transcript.pyannote[1572].end 9614.84909375
transcript.pyannote[1573].speaker SPEAKER_40
transcript.pyannote[1573].start 9615.03471875
transcript.pyannote[1573].end 9627.87659375
transcript.pyannote[1574].speaker SPEAKER_40
transcript.pyannote[1574].start 9628.41659375
transcript.pyannote[1574].end 9633.86721875
transcript.pyannote[1575].speaker SPEAKER_40
transcript.pyannote[1575].start 9635.43659375
transcript.pyannote[1575].end 9638.15346875
transcript.pyannote[1576].speaker SPEAKER_24
transcript.pyannote[1576].start 9638.15346875
transcript.pyannote[1576].end 9638.44034375
transcript.pyannote[1577].speaker SPEAKER_40
transcript.pyannote[1577].start 9638.38971875
transcript.pyannote[1577].end 9646.20284375
transcript.pyannote[1578].speaker SPEAKER_24
transcript.pyannote[1578].start 9644.86971875
transcript.pyannote[1578].end 9645.49409375
transcript.pyannote[1579].speaker SPEAKER_40
transcript.pyannote[1579].start 9646.96221875
transcript.pyannote[1579].end 9649.67909375
transcript.pyannote[1580].speaker SPEAKER_40
transcript.pyannote[1580].start 9650.01659375
transcript.pyannote[1580].end 9650.92784375
transcript.pyannote[1581].speaker SPEAKER_40
transcript.pyannote[1581].start 9651.41721875
transcript.pyannote[1581].end 9652.17659375
transcript.pyannote[1582].speaker SPEAKER_40
transcript.pyannote[1582].start 9653.34096875
transcript.pyannote[1582].end 9671.53221875
transcript.pyannote[1583].speaker SPEAKER_40
transcript.pyannote[1583].start 9671.66721875
transcript.pyannote[1583].end 9673.89471875
transcript.pyannote[1584].speaker SPEAKER_40
transcript.pyannote[1584].start 9674.14784375
transcript.pyannote[1584].end 9701.99159375
transcript.pyannote[1585].speaker SPEAKER_00
transcript.pyannote[1585].start 9693.84096875
transcript.pyannote[1585].end 9693.85784375
transcript.pyannote[1586].speaker SPEAKER_24
transcript.pyannote[1586].start 9693.85784375
transcript.pyannote[1586].end 9694.24596875
transcript.pyannote[1587].speaker SPEAKER_29
transcript.pyannote[1587].start 9701.50221875
transcript.pyannote[1587].end 9701.73846875
transcript.pyannote[1588].speaker SPEAKER_29
transcript.pyannote[1588].start 9702.19409375
transcript.pyannote[1588].end 9736.24784375
transcript.pyannote[1589].speaker SPEAKER_40
transcript.pyannote[1589].start 9736.68659375
transcript.pyannote[1589].end 9738.88034375
transcript.pyannote[1590].speaker SPEAKER_40
transcript.pyannote[1590].start 9739.21784375
transcript.pyannote[1590].end 9743.14971875
transcript.pyannote[1591].speaker SPEAKER_29
transcript.pyannote[1591].start 9743.16659375
transcript.pyannote[1591].end 9755.09721875
transcript.pyannote[1592].speaker SPEAKER_40
transcript.pyannote[1592].start 9755.53596875
transcript.pyannote[1592].end 9779.76846875
transcript.pyannote[1593].speaker SPEAKER_29
transcript.pyannote[1593].start 9775.56659375
transcript.pyannote[1593].end 9777.10221875
transcript.pyannote[1594].speaker SPEAKER_29
transcript.pyannote[1594].start 9778.51971875
transcript.pyannote[1594].end 9787.83471875
transcript.pyannote[1595].speaker SPEAKER_40
transcript.pyannote[1595].start 9788.27346875
transcript.pyannote[1595].end 9791.12534375
transcript.pyannote[1596].speaker SPEAKER_29
transcript.pyannote[1596].start 9789.97784375
transcript.pyannote[1596].end 9790.90596875
transcript.pyannote[1597].speaker SPEAKER_29
transcript.pyannote[1597].start 9791.12534375
transcript.pyannote[1597].end 9792.57659375
transcript.pyannote[1598].speaker SPEAKER_40
transcript.pyannote[1598].start 9792.69471875
transcript.pyannote[1598].end 9800.10284375
transcript.pyannote[1599].speaker SPEAKER_24
transcript.pyannote[1599].start 9800.05221875
transcript.pyannote[1599].end 9800.06909375
transcript.pyannote[1600].speaker SPEAKER_24
transcript.pyannote[1600].start 9800.10284375
transcript.pyannote[1600].end 9800.15346875
transcript.pyannote[1601].speaker SPEAKER_40
transcript.pyannote[1601].start 9800.15346875
transcript.pyannote[1601].end 9805.58721875
transcript.pyannote[1602].speaker SPEAKER_24
transcript.pyannote[1602].start 9800.18721875
transcript.pyannote[1602].end 9800.33909375
transcript.pyannote[1603].speaker SPEAKER_24
transcript.pyannote[1603].start 9805.53659375
transcript.pyannote[1603].end 9805.90784375
transcript.pyannote[1604].speaker SPEAKER_40
transcript.pyannote[1604].start 9805.84034375
transcript.pyannote[1604].end 9814.78409375
transcript.pyannote[1605].speaker SPEAKER_40
transcript.pyannote[1605].start 9815.32409375
transcript.pyannote[1605].end 9823.69409375
transcript.pyannote[1606].speaker SPEAKER_29
transcript.pyannote[1606].start 9822.74909375
transcript.pyannote[1606].end 9824.38596875
transcript.pyannote[1607].speaker SPEAKER_29
transcript.pyannote[1607].start 9824.74034375
transcript.pyannote[1607].end 9846.81284375
transcript.pyannote[1608].speaker SPEAKER_29
transcript.pyannote[1608].start 9847.38659375
transcript.pyannote[1608].end 9847.42034375
transcript.pyannote[1609].speaker SPEAKER_40
transcript.pyannote[1609].start 9847.42034375
transcript.pyannote[1609].end 9851.48721875
transcript.pyannote[1610].speaker SPEAKER_40
transcript.pyannote[1610].start 9852.60096875
transcript.pyannote[1610].end 9861.62909375
transcript.pyannote[1611].speaker SPEAKER_29
transcript.pyannote[1611].start 9860.27909375
transcript.pyannote[1611].end 9860.29596875
transcript.pyannote[1612].speaker SPEAKER_29
transcript.pyannote[1612].start 9860.34659375
transcript.pyannote[1612].end 9888.27471875
transcript.pyannote[1613].speaker SPEAKER_29
transcript.pyannote[1613].start 9888.34221875
transcript.pyannote[1613].end 9893.05034375
transcript.pyannote[1614].speaker SPEAKER_40
transcript.pyannote[1614].start 9893.05034375
transcript.pyannote[1614].end 9921.85596875
transcript.pyannote[1615].speaker SPEAKER_24
transcript.pyannote[1615].start 9921.85596875
transcript.pyannote[1615].end 9922.22721875
transcript.pyannote[1616].speaker SPEAKER_40
transcript.pyannote[1616].start 9922.14284375
transcript.pyannote[1616].end 9954.17159375
transcript.pyannote[1617].speaker SPEAKER_40
transcript.pyannote[1617].start 9954.37409375
transcript.pyannote[1617].end 9954.79596875
transcript.pyannote[1618].speaker SPEAKER_29
transcript.pyannote[1618].start 9954.66096875
transcript.pyannote[1618].end 9970.20284375
transcript.pyannote[1619].speaker SPEAKER_40
transcript.pyannote[1619].start 9970.20284375
transcript.pyannote[1619].end 9971.43471875
transcript.pyannote[1620].speaker SPEAKER_29
transcript.pyannote[1620].start 9972.53159375
transcript.pyannote[1620].end 9973.35846875
transcript.pyannote[1621].speaker SPEAKER_40
transcript.pyannote[1621].start 9973.13909375
transcript.pyannote[1621].end 9984.69846875
transcript.pyannote[1622].speaker SPEAKER_29
transcript.pyannote[1622].start 9977.44221875
transcript.pyannote[1622].end 9980.26034375
transcript.pyannote[1623].speaker SPEAKER_06
transcript.pyannote[1623].start 9985.50846875
transcript.pyannote[1623].end 10001.23596875
transcript.pyannote[1624].speaker SPEAKER_40
transcript.pyannote[1624].start 10000.83096875
transcript.pyannote[1624].end 10010.29784375
transcript.pyannote[1625].speaker SPEAKER_25
transcript.pyannote[1625].start 10010.29784375
transcript.pyannote[1625].end 10010.31471875
transcript.pyannote[1626].speaker SPEAKER_13
transcript.pyannote[1626].start 10017.04784375
transcript.pyannote[1626].end 10019.44409375
transcript.pyannote[1627].speaker SPEAKER_43
transcript.pyannote[1627].start 10026.09284375
transcript.pyannote[1627].end 10027.71284375
transcript.pyannote[1628].speaker SPEAKER_43
transcript.pyannote[1628].start 10028.05034375
transcript.pyannote[1628].end 10030.09221875
transcript.pyannote[1629].speaker SPEAKER_33
transcript.pyannote[1629].start 10030.42971875
transcript.pyannote[1629].end 10031.07096875
transcript.pyannote[1630].speaker SPEAKER_43
transcript.pyannote[1630].start 10036.35284375
transcript.pyannote[1630].end 10041.04409375
transcript.pyannote[1631].speaker SPEAKER_33
transcript.pyannote[1631].start 10036.36971875
transcript.pyannote[1631].end 10036.84221875
transcript.pyannote[1632].speaker SPEAKER_25
transcript.pyannote[1632].start 10036.84221875
transcript.pyannote[1632].end 10036.90971875
transcript.pyannote[1633].speaker SPEAKER_24
transcript.pyannote[1633].start 10041.01034375
transcript.pyannote[1633].end 10041.73596875
transcript.pyannote[1634].speaker SPEAKER_43
transcript.pyannote[1634].start 10041.65159375
transcript.pyannote[1634].end 10091.73659375
transcript.pyannote[1635].speaker SPEAKER_24
transcript.pyannote[1635].start 10055.13471875
transcript.pyannote[1635].end 10055.47221875
transcript.pyannote[1636].speaker SPEAKER_29
transcript.pyannote[1636].start 10091.73659375
transcript.pyannote[1636].end 10093.57596875
transcript.pyannote[1637].speaker SPEAKER_43
transcript.pyannote[1637].start 10093.20471875
transcript.pyannote[1637].end 10112.40846875
transcript.pyannote[1638].speaker SPEAKER_00
transcript.pyannote[1638].start 10107.85221875
transcript.pyannote[1638].end 10107.88596875
transcript.pyannote[1639].speaker SPEAKER_34
transcript.pyannote[1639].start 10107.88596875
transcript.pyannote[1639].end 10108.10534375
transcript.pyannote[1640].speaker SPEAKER_00
transcript.pyannote[1640].start 10108.10534375
transcript.pyannote[1640].end 10108.25721875
transcript.pyannote[1641].speaker SPEAKER_43
transcript.pyannote[1641].start 10112.93159375
transcript.pyannote[1641].end 10161.10971875
transcript.pyannote[1642].speaker SPEAKER_24
transcript.pyannote[1642].start 10161.32909375
transcript.pyannote[1642].end 10161.54846875
transcript.pyannote[1643].speaker SPEAKER_43
transcript.pyannote[1643].start 10161.54846875
transcript.pyannote[1643].end 10219.68284375
transcript.pyannote[1644].speaker SPEAKER_00
transcript.pyannote[1644].start 10198.70721875
transcript.pyannote[1644].end 10199.07846875
transcript.pyannote[1645].speaker SPEAKER_43
transcript.pyannote[1645].start 10220.59409375
transcript.pyannote[1645].end 10255.45784375
transcript.pyannote[1646].speaker SPEAKER_43
transcript.pyannote[1646].start 10256.62221875
transcript.pyannote[1646].end 10258.37721875
transcript.pyannote[1647].speaker SPEAKER_29
transcript.pyannote[1647].start 10258.93409375
transcript.pyannote[1647].end 10259.20409375
transcript.pyannote[1648].speaker SPEAKER_29
transcript.pyannote[1648].start 10259.42346875
transcript.pyannote[1648].end 10269.49784375
transcript.pyannote[1649].speaker SPEAKER_43
transcript.pyannote[1649].start 10266.64596875
transcript.pyannote[1649].end 10266.94971875
transcript.pyannote[1650].speaker SPEAKER_43
transcript.pyannote[1650].start 10268.83971875
transcript.pyannote[1650].end 10272.36659375
transcript.pyannote[1651].speaker SPEAKER_43
transcript.pyannote[1651].start 10272.50159375
transcript.pyannote[1651].end 10284.92159375
transcript.pyannote[1652].speaker SPEAKER_29
transcript.pyannote[1652].start 10284.26346875
transcript.pyannote[1652].end 10289.54534375
transcript.pyannote[1653].speaker SPEAKER_43
transcript.pyannote[1653].start 10288.17846875
transcript.pyannote[1653].end 10288.48221875
transcript.pyannote[1654].speaker SPEAKER_43
transcript.pyannote[1654].start 10288.75221875
transcript.pyannote[1654].end 10291.80659375
transcript.pyannote[1655].speaker SPEAKER_43
transcript.pyannote[1655].start 10291.90784375
transcript.pyannote[1655].end 10318.08096875
transcript.pyannote[1656].speaker SPEAKER_29
transcript.pyannote[1656].start 10317.76034375
transcript.pyannote[1656].end 10318.26659375
transcript.pyannote[1657].speaker SPEAKER_43
transcript.pyannote[1657].start 10318.21596875
transcript.pyannote[1657].end 10318.75596875
transcript.pyannote[1658].speaker SPEAKER_43
transcript.pyannote[1658].start 10319.05971875
transcript.pyannote[1658].end 10320.54471875
transcript.pyannote[1659].speaker SPEAKER_29
transcript.pyannote[1659].start 10319.11034375
transcript.pyannote[1659].end 10322.33346875
transcript.pyannote[1660].speaker SPEAKER_43
transcript.pyannote[1660].start 10321.20284375
transcript.pyannote[1660].end 10324.37534375
transcript.pyannote[1661].speaker SPEAKER_29
transcript.pyannote[1661].start 10325.59034375
transcript.pyannote[1661].end 10327.07534375
transcript.pyannote[1662].speaker SPEAKER_43
transcript.pyannote[1662].start 10327.07534375
transcript.pyannote[1662].end 10334.82096875
transcript.pyannote[1663].speaker SPEAKER_29
transcript.pyannote[1663].start 10327.09221875
transcript.pyannote[1663].end 10327.10909375
transcript.pyannote[1664].speaker SPEAKER_29
transcript.pyannote[1664].start 10327.49721875
transcript.pyannote[1664].end 10328.93159375
transcript.pyannote[1665].speaker SPEAKER_29
transcript.pyannote[1665].start 10331.00721875
transcript.pyannote[1665].end 10331.59784375
transcript.pyannote[1666].speaker SPEAKER_29
transcript.pyannote[1666].start 10333.84221875
transcript.pyannote[1666].end 10338.21284375
transcript.pyannote[1667].speaker SPEAKER_43
transcript.pyannote[1667].start 10337.65596875
transcript.pyannote[1667].end 10346.88659375
transcript.pyannote[1668].speaker SPEAKER_29
transcript.pyannote[1668].start 10341.50346875
transcript.pyannote[1668].end 10341.92534375
transcript.pyannote[1669].speaker SPEAKER_29
transcript.pyannote[1669].start 10344.86159375
transcript.pyannote[1669].end 10345.48596875
transcript.pyannote[1670].speaker SPEAKER_29
transcript.pyannote[1670].start 10347.39284375
transcript.pyannote[1670].end 10347.57846875
transcript.pyannote[1671].speaker SPEAKER_29
transcript.pyannote[1671].start 10348.43909375
transcript.pyannote[1671].end 10348.45596875
transcript.pyannote[1672].speaker SPEAKER_43
transcript.pyannote[1672].start 10348.45596875
transcript.pyannote[1672].end 10348.48971875
transcript.pyannote[1673].speaker SPEAKER_29
transcript.pyannote[1673].start 10348.48971875
transcript.pyannote[1673].end 10361.58471875
transcript.pyannote[1674].speaker SPEAKER_43
transcript.pyannote[1674].start 10348.54034375
transcript.pyannote[1674].end 10349.29971875
transcript.pyannote[1675].speaker SPEAKER_43
transcript.pyannote[1675].start 10361.39909375
transcript.pyannote[1675].end 10378.08846875
transcript.pyannote[1676].speaker SPEAKER_29
transcript.pyannote[1676].start 10368.94221875
transcript.pyannote[1676].end 10370.27534375
transcript.pyannote[1677].speaker SPEAKER_00
transcript.pyannote[1677].start 10370.27534375
transcript.pyannote[1677].end 10370.39346875
transcript.pyannote[1678].speaker SPEAKER_00
transcript.pyannote[1678].start 10370.51159375
transcript.pyannote[1678].end 10371.62534375
transcript.pyannote[1679].speaker SPEAKER_00
transcript.pyannote[1679].start 10372.89096875
transcript.pyannote[1679].end 10373.02596875
transcript.pyannote[1680].speaker SPEAKER_25
transcript.pyannote[1680].start 10373.02596875
transcript.pyannote[1680].end 10373.70096875
transcript.pyannote[1681].speaker SPEAKER_00
transcript.pyannote[1681].start 10373.70096875
transcript.pyannote[1681].end 10373.75159375
transcript.pyannote[1682].speaker SPEAKER_43
transcript.pyannote[1682].start 10378.35846875
transcript.pyannote[1682].end 10391.74034375
transcript.pyannote[1683].speaker SPEAKER_25
transcript.pyannote[1683].start 10381.09221875
transcript.pyannote[1683].end 10381.32846875
transcript.pyannote[1684].speaker SPEAKER_24
transcript.pyannote[1684].start 10381.32846875
transcript.pyannote[1684].end 10381.90221875
transcript.pyannote[1685].speaker SPEAKER_00
transcript.pyannote[1685].start 10381.90221875
transcript.pyannote[1685].end 10381.91909375
transcript.pyannote[1686].speaker SPEAKER_00
transcript.pyannote[1686].start 10387.85909375
transcript.pyannote[1686].end 10389.09096875
transcript.pyannote[1687].speaker SPEAKER_24
transcript.pyannote[1687].start 10389.09096875
transcript.pyannote[1687].end 10391.13284375
transcript.pyannote[1688].speaker SPEAKER_29
transcript.pyannote[1688].start 10391.13284375
transcript.pyannote[1688].end 10391.47034375
transcript.pyannote[1689].speaker SPEAKER_43
transcript.pyannote[1689].start 10392.82034375
transcript.pyannote[1689].end 10398.77721875
transcript.pyannote[1690].speaker SPEAKER_29
transcript.pyannote[1690].start 10398.94596875
transcript.pyannote[1690].end 10406.80971875
transcript.pyannote[1691].speaker SPEAKER_43
transcript.pyannote[1691].start 10399.97534375
transcript.pyannote[1691].end 10401.39284375
transcript.pyannote[1692].speaker SPEAKER_43
transcript.pyannote[1692].start 10402.48971875
transcript.pyannote[1692].end 10402.55721875
transcript.pyannote[1693].speaker SPEAKER_43
transcript.pyannote[1693].start 10404.91971875
transcript.pyannote[1693].end 10405.51034375
transcript.pyannote[1694].speaker SPEAKER_43
transcript.pyannote[1694].start 10406.50596875
transcript.pyannote[1694].end 10417.37346875
transcript.pyannote[1695].speaker SPEAKER_29
transcript.pyannote[1695].start 10417.37346875
transcript.pyannote[1695].end 10424.10659375
transcript.pyannote[1696].speaker SPEAKER_43
transcript.pyannote[1696].start 10417.39034375
transcript.pyannote[1696].end 10417.40721875
transcript.pyannote[1697].speaker SPEAKER_43
transcript.pyannote[1697].start 10420.84971875
transcript.pyannote[1697].end 10421.11971875
transcript.pyannote[1698].speaker SPEAKER_43
transcript.pyannote[1698].start 10423.39784375
transcript.pyannote[1698].end 10425.82784375
transcript.pyannote[1699].speaker SPEAKER_29
transcript.pyannote[1699].start 10424.62971875
transcript.pyannote[1699].end 10424.83221875
transcript.pyannote[1700].speaker SPEAKER_43
transcript.pyannote[1700].start 10426.03034375
transcript.pyannote[1700].end 10468.90971875
transcript.pyannote[1701].speaker SPEAKER_43
transcript.pyannote[1701].start 10469.36534375
transcript.pyannote[1701].end 10478.69721875
transcript.pyannote[1702].speaker SPEAKER_43
transcript.pyannote[1702].start 10478.89971875
transcript.pyannote[1702].end 10492.99034375
transcript.pyannote[1703].speaker SPEAKER_00
transcript.pyannote[1703].start 10484.31659375
transcript.pyannote[1703].end 10484.67096875
transcript.pyannote[1704].speaker SPEAKER_43
transcript.pyannote[1704].start 10493.64846875
transcript.pyannote[1704].end 10496.44971875
transcript.pyannote[1705].speaker SPEAKER_43
transcript.pyannote[1705].start 10496.87159375
transcript.pyannote[1705].end 10505.61284375
transcript.pyannote[1706].speaker SPEAKER_46
transcript.pyannote[1706].start 10498.89659375
transcript.pyannote[1706].end 10499.62221875
transcript.pyannote[1707].speaker SPEAKER_46
transcript.pyannote[1707].start 10502.33909375
transcript.pyannote[1707].end 10502.60909375
transcript.pyannote[1708].speaker SPEAKER_43
transcript.pyannote[1708].start 10506.18659375
transcript.pyannote[1708].end 10529.25471875
transcript.pyannote[1709].speaker SPEAKER_29
transcript.pyannote[1709].start 10525.60971875
transcript.pyannote[1709].end 10525.66034375
transcript.pyannote[1710].speaker SPEAKER_43
transcript.pyannote[1710].start 10529.84534375
transcript.pyannote[1710].end 10530.53721875
transcript.pyannote[1711].speaker SPEAKER_43
transcript.pyannote[1711].start 10531.17846875
transcript.pyannote[1711].end 10532.03909375
transcript.pyannote[1712].speaker SPEAKER_29
transcript.pyannote[1712].start 10532.03909375
transcript.pyannote[1712].end 10536.05534375
transcript.pyannote[1713].speaker SPEAKER_43
transcript.pyannote[1713].start 10532.34284375
transcript.pyannote[1713].end 10532.41034375
transcript.pyannote[1714].speaker SPEAKER_25
transcript.pyannote[1714].start 10532.41034375
transcript.pyannote[1714].end 10532.44409375
transcript.pyannote[1715].speaker SPEAKER_43
transcript.pyannote[1715].start 10532.44409375
transcript.pyannote[1715].end 10532.46096875
transcript.pyannote[1716].speaker SPEAKER_25
transcript.pyannote[1716].start 10532.46096875
transcript.pyannote[1716].end 10532.49471875
transcript.pyannote[1717].speaker SPEAKER_43
transcript.pyannote[1717].start 10534.85721875
transcript.pyannote[1717].end 10549.31909375
transcript.pyannote[1718].speaker SPEAKER_43
transcript.pyannote[1718].start 10550.12909375
transcript.pyannote[1718].end 10586.49471875
transcript.pyannote[1719].speaker SPEAKER_43
transcript.pyannote[1719].start 10586.93346875
transcript.pyannote[1719].end 10587.49034375
transcript.pyannote[1720].speaker SPEAKER_43
transcript.pyannote[1720].start 10587.70971875
transcript.pyannote[1720].end 10588.77284375
transcript.pyannote[1721].speaker SPEAKER_43
transcript.pyannote[1721].start 10589.21159375
transcript.pyannote[1721].end 10589.80221875
transcript.pyannote[1722].speaker SPEAKER_43
transcript.pyannote[1722].start 10590.62909375
transcript.pyannote[1722].end 10590.89909375
transcript.pyannote[1723].speaker SPEAKER_43
transcript.pyannote[1723].start 10592.06346875
transcript.pyannote[1723].end 10605.52971875
transcript.pyannote[1724].speaker SPEAKER_43
transcript.pyannote[1724].start 10605.88409375
transcript.pyannote[1724].end 10611.30096875
transcript.pyannote[1725].speaker SPEAKER_24
transcript.pyannote[1725].start 10611.09846875
transcript.pyannote[1725].end 10611.73971875
transcript.pyannote[1726].speaker SPEAKER_43
transcript.pyannote[1726].start 10611.94221875
transcript.pyannote[1726].end 10623.80534375
transcript.pyannote[1727].speaker SPEAKER_43
transcript.pyannote[1727].start 10624.36221875
transcript.pyannote[1727].end 10632.10784375
transcript.pyannote[1728].speaker SPEAKER_43
transcript.pyannote[1728].start 10633.03596875
transcript.pyannote[1728].end 10633.62659375
transcript.pyannote[1729].speaker SPEAKER_43
transcript.pyannote[1729].start 10634.28471875
transcript.pyannote[1729].end 10639.02659375
transcript.pyannote[1730].speaker SPEAKER_43
transcript.pyannote[1730].start 10639.68471875
transcript.pyannote[1730].end 10654.26471875
transcript.pyannote[1731].speaker SPEAKER_00
transcript.pyannote[1731].start 10641.99659375
transcript.pyannote[1731].end 10642.03034375
transcript.pyannote[1732].speaker SPEAKER_24
transcript.pyannote[1732].start 10642.03034375
transcript.pyannote[1732].end 10642.21596875
transcript.pyannote[1733].speaker SPEAKER_29
transcript.pyannote[1733].start 10653.92721875
transcript.pyannote[1733].end 10654.34909375
transcript.pyannote[1734].speaker SPEAKER_43
transcript.pyannote[1734].start 10654.33221875
transcript.pyannote[1734].end 10654.95659375
transcript.pyannote[1735].speaker SPEAKER_29
transcript.pyannote[1735].start 10655.31096875
transcript.pyannote[1735].end 10655.90159375
transcript.pyannote[1736].speaker SPEAKER_13
transcript.pyannote[1736].start 10662.14534375
transcript.pyannote[1736].end 10664.17034375
transcript.pyannote[1737].speaker SPEAKER_31
transcript.pyannote[1737].start 10674.10971875
transcript.pyannote[1737].end 10675.52721875
transcript.pyannote[1738].speaker SPEAKER_31
transcript.pyannote[1738].start 10676.21909375
transcript.pyannote[1738].end 10676.60721875
transcript.pyannote[1739].speaker SPEAKER_31
transcript.pyannote[1739].start 10677.13034375
transcript.pyannote[1739].end 10677.97409375
transcript.pyannote[1740].speaker SPEAKER_36
transcript.pyannote[1740].start 10677.97409375
transcript.pyannote[1740].end 10678.04159375
transcript.pyannote[1741].speaker SPEAKER_31
transcript.pyannote[1741].start 10679.00346875
transcript.pyannote[1741].end 10679.61096875
transcript.pyannote[1742].speaker SPEAKER_31
transcript.pyannote[1742].start 10683.37409375
transcript.pyannote[1742].end 10718.03534375
transcript.pyannote[1743].speaker SPEAKER_31
transcript.pyannote[1743].start 10718.11971875
transcript.pyannote[1743].end 10776.23721875
transcript.pyannote[1744].speaker SPEAKER_31
transcript.pyannote[1744].start 10776.47346875
transcript.pyannote[1744].end 10780.65846875
transcript.pyannote[1745].speaker SPEAKER_31
transcript.pyannote[1745].start 10781.24909375
transcript.pyannote[1745].end 10781.99159375
transcript.pyannote[1746].speaker SPEAKER_31
transcript.pyannote[1746].start 10782.29534375
transcript.pyannote[1746].end 10784.23596875
transcript.pyannote[1747].speaker SPEAKER_31
transcript.pyannote[1747].start 10785.09659375
transcript.pyannote[1747].end 10800.30096875
transcript.pyannote[1748].speaker SPEAKER_31
transcript.pyannote[1748].start 10800.79034375
transcript.pyannote[1748].end 10818.08721875
transcript.pyannote[1749].speaker SPEAKER_31
transcript.pyannote[1749].start 10818.67784375
transcript.pyannote[1749].end 10827.40221875
transcript.pyannote[1750].speaker SPEAKER_31
transcript.pyannote[1750].start 10827.72284375
transcript.pyannote[1750].end 10848.04034375
transcript.pyannote[1751].speaker SPEAKER_31
transcript.pyannote[1751].start 10848.22596875
transcript.pyannote[1751].end 10850.11596875
transcript.pyannote[1752].speaker SPEAKER_31
transcript.pyannote[1752].start 10850.65596875
transcript.pyannote[1752].end 10859.12721875
transcript.pyannote[1753].speaker SPEAKER_31
transcript.pyannote[1753].start 10859.22846875
transcript.pyannote[1753].end 10872.93096875
transcript.pyannote[1754].speaker SPEAKER_31
transcript.pyannote[1754].start 10873.06596875
transcript.pyannote[1754].end 10875.31034375
transcript.pyannote[1755].speaker SPEAKER_31
transcript.pyannote[1755].start 10875.83346875
transcript.pyannote[1755].end 10877.92596875
transcript.pyannote[1756].speaker SPEAKER_31
transcript.pyannote[1756].start 10878.49971875
transcript.pyannote[1756].end 10894.37909375
transcript.pyannote[1757].speaker SPEAKER_31
transcript.pyannote[1757].start 10894.64909375
transcript.pyannote[1757].end 10906.37721875
transcript.pyannote[1758].speaker SPEAKER_31
transcript.pyannote[1758].start 10906.69784375
transcript.pyannote[1758].end 10908.11534375
transcript.pyannote[1759].speaker SPEAKER_31
transcript.pyannote[1759].start 10908.21659375
transcript.pyannote[1759].end 10922.15534375
transcript.pyannote[1760].speaker SPEAKER_31
transcript.pyannote[1760].start 10922.23971875
transcript.pyannote[1760].end 10926.05346875
transcript.pyannote[1761].speaker SPEAKER_31
transcript.pyannote[1761].start 10926.84659375
transcript.pyannote[1761].end 10936.19534375
transcript.pyannote[1762].speaker SPEAKER_31
transcript.pyannote[1762].start 10936.68471875
transcript.pyannote[1762].end 10939.78971875
transcript.pyannote[1763].speaker SPEAKER_31
transcript.pyannote[1763].start 10940.19471875
transcript.pyannote[1763].end 10941.91596875
transcript.pyannote[1764].speaker SPEAKER_29
transcript.pyannote[1764].start 10942.42221875
transcript.pyannote[1764].end 10963.34721875
transcript.pyannote[1765].speaker SPEAKER_31
transcript.pyannote[1765].start 10946.62409375
transcript.pyannote[1765].end 10946.80971875
transcript.pyannote[1766].speaker SPEAKER_31
transcript.pyannote[1766].start 10955.95596875
transcript.pyannote[1766].end 10956.85034375
transcript.pyannote[1767].speaker SPEAKER_31
transcript.pyannote[1767].start 10959.29721875
transcript.pyannote[1767].end 10959.61784375
transcript.pyannote[1768].speaker SPEAKER_31
transcript.pyannote[1768].start 10962.87471875
transcript.pyannote[1768].end 10978.88909375
transcript.pyannote[1769].speaker SPEAKER_31
transcript.pyannote[1769].start 10979.22659375
transcript.pyannote[1769].end 10982.31471875
transcript.pyannote[1770].speaker SPEAKER_31
transcript.pyannote[1770].start 10982.78721875
transcript.pyannote[1770].end 10986.38159375
transcript.pyannote[1771].speaker SPEAKER_31
transcript.pyannote[1771].start 10986.75284375
transcript.pyannote[1771].end 10996.05096875
transcript.pyannote[1772].speaker SPEAKER_31
transcript.pyannote[1772].start 10996.32096875
transcript.pyannote[1772].end 11005.45034375
transcript.pyannote[1773].speaker SPEAKER_31
transcript.pyannote[1773].start 11005.53471875
transcript.pyannote[1773].end 11007.10409375
transcript.pyannote[1774].speaker SPEAKER_31
transcript.pyannote[1774].start 11007.22221875
transcript.pyannote[1774].end 11022.61221875
transcript.pyannote[1775].speaker SPEAKER_29
transcript.pyannote[1775].start 11020.67159375
transcript.pyannote[1775].end 11023.01721875
transcript.pyannote[1776].speaker SPEAKER_29
transcript.pyannote[1776].start 11023.20284375
transcript.pyannote[1776].end 11024.26596875
transcript.pyannote[1777].speaker SPEAKER_31
transcript.pyannote[1777].start 11024.38409375
transcript.pyannote[1777].end 11026.88159375
transcript.pyannote[1778].speaker SPEAKER_13
transcript.pyannote[1778].start 11030.00346875
transcript.pyannote[1778].end 11030.12159375
transcript.pyannote[1779].speaker SPEAKER_13
transcript.pyannote[1779].start 11033.47971875
transcript.pyannote[1779].end 11035.50471875
transcript.pyannote[1780].speaker SPEAKER_20
transcript.pyannote[1780].start 11048.36346875
transcript.pyannote[1780].end 11050.27034375
transcript.pyannote[1781].speaker SPEAKER_20
transcript.pyannote[1781].start 11050.40534375
transcript.pyannote[1781].end 11052.54846875
transcript.pyannote[1782].speaker SPEAKER_36
transcript.pyannote[1782].start 11053.67909375
transcript.pyannote[1782].end 11054.48909375
transcript.pyannote[1783].speaker SPEAKER_20
transcript.pyannote[1783].start 11053.74659375
transcript.pyannote[1783].end 11055.82221875
transcript.pyannote[1784].speaker SPEAKER_36
transcript.pyannote[1784].start 11055.92346875
transcript.pyannote[1784].end 11056.58159375
transcript.pyannote[1785].speaker SPEAKER_24
transcript.pyannote[1785].start 11064.41159375
transcript.pyannote[1785].end 11064.52971875
transcript.pyannote[1786].speaker SPEAKER_20
transcript.pyannote[1786].start 11064.52971875
transcript.pyannote[1786].end 11064.93471875
transcript.pyannote[1787].speaker SPEAKER_21
transcript.pyannote[1787].start 11064.52971875
transcript.pyannote[1787].end 11067.19596875
transcript.pyannote[1788].speaker SPEAKER_21
transcript.pyannote[1788].start 11068.07346875
transcript.pyannote[1788].end 11074.95846875
transcript.pyannote[1789].speaker SPEAKER_12
transcript.pyannote[1789].start 11074.95846875
transcript.pyannote[1789].end 11075.24534375
transcript.pyannote[1790].speaker SPEAKER_21
transcript.pyannote[1790].start 11075.24534375
transcript.pyannote[1790].end 11080.71284375
transcript.pyannote[1791].speaker SPEAKER_21
transcript.pyannote[1791].start 11081.33721875
transcript.pyannote[1791].end 11088.35721875
transcript.pyannote[1792].speaker SPEAKER_32
transcript.pyannote[1792].start 11088.86346875
transcript.pyannote[1792].end 11097.14909375
transcript.pyannote[1793].speaker SPEAKER_21
transcript.pyannote[1793].start 11097.14909375
transcript.pyannote[1793].end 11097.23346875
transcript.pyannote[1794].speaker SPEAKER_32
transcript.pyannote[1794].start 11097.23346875
transcript.pyannote[1794].end 11102.88659375
transcript.pyannote[1795].speaker SPEAKER_21
transcript.pyannote[1795].start 11098.58346875
transcript.pyannote[1795].end 11099.07284375
transcript.pyannote[1796].speaker SPEAKER_21
transcript.pyannote[1796].start 11102.88659375
transcript.pyannote[1796].end 11106.49784375
transcript.pyannote[1797].speaker SPEAKER_21
transcript.pyannote[1797].start 11106.93659375
transcript.pyannote[1797].end 11109.28221875
transcript.pyannote[1798].speaker SPEAKER_21
transcript.pyannote[1798].start 11109.83909375
transcript.pyannote[1798].end 11114.26034375
transcript.pyannote[1799].speaker SPEAKER_21
transcript.pyannote[1799].start 11114.44596875
transcript.pyannote[1799].end 11117.39909375
transcript.pyannote[1800].speaker SPEAKER_21
transcript.pyannote[1800].start 11118.02346875
transcript.pyannote[1800].end 11119.69409375
transcript.pyannote[1801].speaker SPEAKER_21
transcript.pyannote[1801].start 11120.50409375
transcript.pyannote[1801].end 11124.48659375
transcript.pyannote[1802].speaker SPEAKER_29
transcript.pyannote[1802].start 11124.79034375
transcript.pyannote[1802].end 11124.82409375
transcript.pyannote[1803].speaker SPEAKER_26
transcript.pyannote[1803].start 11124.82409375
transcript.pyannote[1803].end 11125.02659375
transcript.pyannote[1804].speaker SPEAKER_29
transcript.pyannote[1804].start 11125.02659375
transcript.pyannote[1804].end 11125.07721875
transcript.pyannote[1805].speaker SPEAKER_26
transcript.pyannote[1805].start 11125.07721875
transcript.pyannote[1805].end 11125.51596875
transcript.pyannote[1806].speaker SPEAKER_21
transcript.pyannote[1806].start 11125.07721875
transcript.pyannote[1806].end 11126.96721875
transcript.pyannote[1807].speaker SPEAKER_29
transcript.pyannote[1807].start 11125.51596875
transcript.pyannote[1807].end 11125.53284375
transcript.pyannote[1808].speaker SPEAKER_29
transcript.pyannote[1808].start 11126.96721875
transcript.pyannote[1808].end 11127.03471875
transcript.pyannote[1809].speaker SPEAKER_21
transcript.pyannote[1809].start 11127.03471875
transcript.pyannote[1809].end 11127.96284375
transcript.pyannote[1810].speaker SPEAKER_29
transcript.pyannote[1810].start 11127.96284375
transcript.pyannote[1810].end 11128.03034375
transcript.pyannote[1811].speaker SPEAKER_21
transcript.pyannote[1811].start 11128.03034375
transcript.pyannote[1811].end 11129.07659375
transcript.pyannote[1812].speaker SPEAKER_29
transcript.pyannote[1812].start 11128.38471875
transcript.pyannote[1812].end 11128.41846875
transcript.pyannote[1813].speaker SPEAKER_32
transcript.pyannote[1813].start 11128.41846875
transcript.pyannote[1813].end 11133.41346875
transcript.pyannote[1814].speaker SPEAKER_29
transcript.pyannote[1814].start 11129.07659375
transcript.pyannote[1814].end 11129.29596875
transcript.pyannote[1815].speaker SPEAKER_29
transcript.pyannote[1815].start 11132.85659375
transcript.pyannote[1815].end 11132.87346875
transcript.pyannote[1816].speaker SPEAKER_21
transcript.pyannote[1816].start 11132.87346875
transcript.pyannote[1816].end 11133.39659375
transcript.pyannote[1817].speaker SPEAKER_21
transcript.pyannote[1817].start 11133.41346875
transcript.pyannote[1817].end 11134.37534375
transcript.pyannote[1818].speaker SPEAKER_21
transcript.pyannote[1818].start 11134.66221875
transcript.pyannote[1818].end 11139.72471875
transcript.pyannote[1819].speaker SPEAKER_21
transcript.pyannote[1819].start 11140.24784375
transcript.pyannote[1819].end 11142.39096875
transcript.pyannote[1820].speaker SPEAKER_21
transcript.pyannote[1820].start 11143.31909375
transcript.pyannote[1820].end 11145.69846875
transcript.pyannote[1821].speaker SPEAKER_21
transcript.pyannote[1821].start 11146.20471875
transcript.pyannote[1821].end 11151.03096875
transcript.pyannote[1822].speaker SPEAKER_21
transcript.pyannote[1822].start 11151.26721875
transcript.pyannote[1822].end 11153.46096875
transcript.pyannote[1823].speaker SPEAKER_21
transcript.pyannote[1823].start 11153.76471875
transcript.pyannote[1823].end 11159.16471875
transcript.pyannote[1824].speaker SPEAKER_21
transcript.pyannote[1824].start 11160.14346875
transcript.pyannote[1824].end 11162.18534375
transcript.pyannote[1825].speaker SPEAKER_21
transcript.pyannote[1825].start 11162.67471875
transcript.pyannote[1825].end 11164.73346875
transcript.pyannote[1826].speaker SPEAKER_21
transcript.pyannote[1826].start 11165.02034375
transcript.pyannote[1826].end 11167.23096875
transcript.pyannote[1827].speaker SPEAKER_21
transcript.pyannote[1827].start 11167.85534375
transcript.pyannote[1827].end 11169.74534375
transcript.pyannote[1828].speaker SPEAKER_21
transcript.pyannote[1828].start 11170.01534375
transcript.pyannote[1828].end 11174.79096875
transcript.pyannote[1829].speaker SPEAKER_21
transcript.pyannote[1829].start 11175.56721875
transcript.pyannote[1829].end 11180.27534375
transcript.pyannote[1830].speaker SPEAKER_21
transcript.pyannote[1830].start 11180.89971875
transcript.pyannote[1830].end 11182.36784375
transcript.pyannote[1831].speaker SPEAKER_21
transcript.pyannote[1831].start 11182.99221875
transcript.pyannote[1831].end 11189.55659375
transcript.pyannote[1832].speaker SPEAKER_21
transcript.pyannote[1832].start 11190.46784375
transcript.pyannote[1832].end 11192.91471875
transcript.pyannote[1833].speaker SPEAKER_21
transcript.pyannote[1833].start 11193.45471875
transcript.pyannote[1833].end 11195.12534375
transcript.pyannote[1834].speaker SPEAKER_21
transcript.pyannote[1834].start 11195.41221875
transcript.pyannote[1834].end 11197.04909375
transcript.pyannote[1835].speaker SPEAKER_21
transcript.pyannote[1835].start 11197.45409375
transcript.pyannote[1835].end 11200.62659375
transcript.pyannote[1836].speaker SPEAKER_21
transcript.pyannote[1836].start 11201.55471875
transcript.pyannote[1836].end 11201.85846875
transcript.pyannote[1837].speaker SPEAKER_21
transcript.pyannote[1837].start 11202.16221875
transcript.pyannote[1837].end 11204.77784375
transcript.pyannote[1838].speaker SPEAKER_21
transcript.pyannote[1838].start 11205.48659375
transcript.pyannote[1838].end 11207.17409375
transcript.pyannote[1839].speaker SPEAKER_21
transcript.pyannote[1839].start 11207.47784375
transcript.pyannote[1839].end 11208.01784375
transcript.pyannote[1840].speaker SPEAKER_21
transcript.pyannote[1840].start 11208.45659375
transcript.pyannote[1840].end 11210.95409375
transcript.pyannote[1841].speaker SPEAKER_21
transcript.pyannote[1841].start 11211.64596875
transcript.pyannote[1841].end 11215.62846875
transcript.pyannote[1842].speaker SPEAKER_21
transcript.pyannote[1842].start 11216.33721875
transcript.pyannote[1842].end 11216.77596875
transcript.pyannote[1843].speaker SPEAKER_21
transcript.pyannote[1843].start 11217.26534375
transcript.pyannote[1843].end 11218.80096875
transcript.pyannote[1844].speaker SPEAKER_21
transcript.pyannote[1844].start 11219.77971875
transcript.pyannote[1844].end 11222.69909375
transcript.pyannote[1845].speaker SPEAKER_21
transcript.pyannote[1845].start 11223.37409375
transcript.pyannote[1845].end 11226.81659375
transcript.pyannote[1846].speaker SPEAKER_21
transcript.pyannote[1846].start 11227.47471875
transcript.pyannote[1846].end 11228.68971875
transcript.pyannote[1847].speaker SPEAKER_21
transcript.pyannote[1847].start 11229.17909375
transcript.pyannote[1847].end 11231.72721875
transcript.pyannote[1848].speaker SPEAKER_21
transcript.pyannote[1848].start 11232.58784375
transcript.pyannote[1848].end 11232.89159375
transcript.pyannote[1849].speaker SPEAKER_21
transcript.pyannote[1849].start 11233.80284375
transcript.pyannote[1849].end 11235.76034375
transcript.pyannote[1850].speaker SPEAKER_21
transcript.pyannote[1850].start 11236.26659375
transcript.pyannote[1850].end 11240.51909375
transcript.pyannote[1851].speaker SPEAKER_21
transcript.pyannote[1851].start 11241.04221875
transcript.pyannote[1851].end 11241.43034375
transcript.pyannote[1852].speaker SPEAKER_21
transcript.pyannote[1852].start 11242.42596875
transcript.pyannote[1852].end 11245.54784375
transcript.pyannote[1853].speaker SPEAKER_21
transcript.pyannote[1853].start 11245.83471875
transcript.pyannote[1853].end 11247.77534375
transcript.pyannote[1854].speaker SPEAKER_21
transcript.pyannote[1854].start 11248.29846875
transcript.pyannote[1854].end 11250.00284375
transcript.pyannote[1855].speaker SPEAKER_21
transcript.pyannote[1855].start 11250.28971875
transcript.pyannote[1855].end 11254.33971875
transcript.pyannote[1856].speaker SPEAKER_21
transcript.pyannote[1856].start 11254.82909375
transcript.pyannote[1856].end 11258.17034375
transcript.pyannote[1857].speaker SPEAKER_32
transcript.pyannote[1857].start 11258.17034375
transcript.pyannote[1857].end 11258.82846875
transcript.pyannote[1858].speaker SPEAKER_21
transcript.pyannote[1858].start 11258.47409375
transcript.pyannote[1858].end 11259.95909375
transcript.pyannote[1859].speaker SPEAKER_32
transcript.pyannote[1859].start 11259.95909375
transcript.pyannote[1859].end 11260.21221875
transcript.pyannote[1860].speaker SPEAKER_21
transcript.pyannote[1860].start 11260.21221875
transcript.pyannote[1860].end 11266.75971875
transcript.pyannote[1861].speaker SPEAKER_32
transcript.pyannote[1861].start 11261.89971875
transcript.pyannote[1861].end 11262.79409375
transcript.pyannote[1862].speaker SPEAKER_21
transcript.pyannote[1862].start 11267.45159375
transcript.pyannote[1862].end 11269.84784375
transcript.pyannote[1863].speaker SPEAKER_32
transcript.pyannote[1863].start 11267.55284375
transcript.pyannote[1863].end 11268.58221875
transcript.pyannote[1864].speaker SPEAKER_32
transcript.pyannote[1864].start 11269.25721875
transcript.pyannote[1864].end 11278.36971875
transcript.pyannote[1865].speaker SPEAKER_21
transcript.pyannote[1865].start 11271.87284375
transcript.pyannote[1865].end 11272.54784375
transcript.pyannote[1866].speaker SPEAKER_24
transcript.pyannote[1866].start 11278.33596875
transcript.pyannote[1866].end 11278.35284375
transcript.pyannote[1867].speaker SPEAKER_24
transcript.pyannote[1867].start 11278.36971875
transcript.pyannote[1867].end 11279.11221875
transcript.pyannote[1868].speaker SPEAKER_32
transcript.pyannote[1868].start 11278.79159375
transcript.pyannote[1868].end 11291.92034375
transcript.pyannote[1869].speaker SPEAKER_24
transcript.pyannote[1869].start 11287.85346875
transcript.pyannote[1869].end 11287.88721875
transcript.pyannote[1870].speaker SPEAKER_21
transcript.pyannote[1870].start 11287.88721875
transcript.pyannote[1870].end 11288.22471875
transcript.pyannote[1871].speaker SPEAKER_21
transcript.pyannote[1871].start 11289.62534375
transcript.pyannote[1871].end 11291.12721875
transcript.pyannote[1872].speaker SPEAKER_21
transcript.pyannote[1872].start 11292.03846875
transcript.pyannote[1872].end 11294.18159375
transcript.pyannote[1873].speaker SPEAKER_21
transcript.pyannote[1873].start 11294.85659375
transcript.pyannote[1873].end 11297.23596875
transcript.pyannote[1874].speaker SPEAKER_21
transcript.pyannote[1874].start 11297.57346875
transcript.pyannote[1874].end 11301.80909375
transcript.pyannote[1875].speaker SPEAKER_26
transcript.pyannote[1875].start 11301.80909375
transcript.pyannote[1875].end 11302.07909375
transcript.pyannote[1876].speaker SPEAKER_21
transcript.pyannote[1876].start 11302.07909375
transcript.pyannote[1876].end 11303.49659375
transcript.pyannote[1877].speaker SPEAKER_21
transcript.pyannote[1877].start 11303.88471875
transcript.pyannote[1877].end 11307.36096875
transcript.pyannote[1878].speaker SPEAKER_21
transcript.pyannote[1878].start 11307.69846875
transcript.pyannote[1878].end 11310.61784375
transcript.pyannote[1879].speaker SPEAKER_21
transcript.pyannote[1879].start 11310.95534375
transcript.pyannote[1879].end 11315.05596875
transcript.pyannote[1880].speaker SPEAKER_21
transcript.pyannote[1880].start 11315.27534375
transcript.pyannote[1880].end 11318.78534375
transcript.pyannote[1881].speaker SPEAKER_21
transcript.pyannote[1881].start 11319.37596875
transcript.pyannote[1881].end 11322.78471875
transcript.pyannote[1882].speaker SPEAKER_21
transcript.pyannote[1882].start 11323.35846875
transcript.pyannote[1882].end 11325.72096875
transcript.pyannote[1883].speaker SPEAKER_21
transcript.pyannote[1883].start 11326.21034375
transcript.pyannote[1883].end 11330.14221875
transcript.pyannote[1884].speaker SPEAKER_21
transcript.pyannote[1884].start 11330.80034375
transcript.pyannote[1884].end 11332.94346875
transcript.pyannote[1885].speaker SPEAKER_21
transcript.pyannote[1885].start 11333.50034375
transcript.pyannote[1885].end 11336.77409375
transcript.pyannote[1886].speaker SPEAKER_21
transcript.pyannote[1886].start 11337.19596875
transcript.pyannote[1886].end 11337.48284375
transcript.pyannote[1887].speaker SPEAKER_21
transcript.pyannote[1887].start 11337.70221875
transcript.pyannote[1887].end 11340.63846875
transcript.pyannote[1888].speaker SPEAKER_21
transcript.pyannote[1888].start 11341.43159375
transcript.pyannote[1888].end 11343.03471875
transcript.pyannote[1889].speaker SPEAKER_21
transcript.pyannote[1889].start 11343.81096875
transcript.pyannote[1889].end 11351.69159375
transcript.pyannote[1890].speaker SPEAKER_21
transcript.pyannote[1890].start 11352.01221875
transcript.pyannote[1890].end 11353.48034375
transcript.pyannote[1891].speaker SPEAKER_21
transcript.pyannote[1891].start 11354.89784375
transcript.pyannote[1891].end 11356.45034375
transcript.pyannote[1892].speaker SPEAKER_21
transcript.pyannote[1892].start 11356.66971875
transcript.pyannote[1892].end 11357.05784375
transcript.pyannote[1893].speaker SPEAKER_21
transcript.pyannote[1893].start 11358.61034375
transcript.pyannote[1893].end 11362.82909375
transcript.pyannote[1894].speaker SPEAKER_21
transcript.pyannote[1894].start 11363.45346875
transcript.pyannote[1894].end 11364.48284375
transcript.pyannote[1895].speaker SPEAKER_21
transcript.pyannote[1895].start 11365.39409375
transcript.pyannote[1895].end 11366.23784375
transcript.pyannote[1896].speaker SPEAKER_21
transcript.pyannote[1896].start 11366.82846875
transcript.pyannote[1896].end 11368.73534375
transcript.pyannote[1897].speaker SPEAKER_21
transcript.pyannote[1897].start 11369.52846875
transcript.pyannote[1897].end 11370.97971875
transcript.pyannote[1898].speaker SPEAKER_21
transcript.pyannote[1898].start 11371.41846875
transcript.pyannote[1898].end 11371.85721875
transcript.pyannote[1899].speaker SPEAKER_21
transcript.pyannote[1899].start 11373.39284375
transcript.pyannote[1899].end 11378.86034375
transcript.pyannote[1900].speaker SPEAKER_05
transcript.pyannote[1900].start 11379.04596875
transcript.pyannote[1900].end 11391.39846875
transcript.pyannote[1901].speaker SPEAKER_21
transcript.pyannote[1901].start 11391.04409375
transcript.pyannote[1901].end 11396.34284375
transcript.pyannote[1902].speaker SPEAKER_25
transcript.pyannote[1902].start 11396.47784375
transcript.pyannote[1902].end 11397.43971875
transcript.pyannote[1903].speaker SPEAKER_21
transcript.pyannote[1903].start 11397.43971875
transcript.pyannote[1903].end 11403.86909375
transcript.pyannote[1904].speaker SPEAKER_25
transcript.pyannote[1904].start 11397.45659375
transcript.pyannote[1904].end 11398.77284375
transcript.pyannote[1905].speaker SPEAKER_05
transcript.pyannote[1905].start 11404.12221875
transcript.pyannote[1905].end 11404.49346875
transcript.pyannote[1906].speaker SPEAKER_05
transcript.pyannote[1906].start 11404.51034375
transcript.pyannote[1906].end 11404.52721875
transcript.pyannote[1907].speaker SPEAKER_21
transcript.pyannote[1907].start 11404.52721875
transcript.pyannote[1907].end 11408.35784375
transcript.pyannote[1908].speaker SPEAKER_05
transcript.pyannote[1908].start 11404.57784375
transcript.pyannote[1908].end 11404.62846875
transcript.pyannote[1909].speaker SPEAKER_05
transcript.pyannote[1909].start 11404.64534375
transcript.pyannote[1909].end 11404.66221875
transcript.pyannote[1910].speaker SPEAKER_05
transcript.pyannote[1910].start 11404.71284375
transcript.pyannote[1910].end 11405.62409375
transcript.pyannote[1911].speaker SPEAKER_21
transcript.pyannote[1911].start 11408.52659375
transcript.pyannote[1911].end 11413.60596875
transcript.pyannote[1912].speaker SPEAKER_21
transcript.pyannote[1912].start 11414.04471875
transcript.pyannote[1912].end 11416.62659375
transcript.pyannote[1913].speaker SPEAKER_05
transcript.pyannote[1913].start 11414.17971875
transcript.pyannote[1913].end 11414.31471875
transcript.pyannote[1914].speaker SPEAKER_05
transcript.pyannote[1914].start 11414.33159375
transcript.pyannote[1914].end 11414.34846875
transcript.pyannote[1915].speaker SPEAKER_21
transcript.pyannote[1915].start 11417.03159375
transcript.pyannote[1915].end 11421.58784375
transcript.pyannote[1916].speaker SPEAKER_21
transcript.pyannote[1916].start 11421.99284375
transcript.pyannote[1916].end 11428.15221875
transcript.pyannote[1917].speaker SPEAKER_21
transcript.pyannote[1917].start 11428.47284375
transcript.pyannote[1917].end 11430.10971875
transcript.pyannote[1918].speaker SPEAKER_21
transcript.pyannote[1918].start 11431.15596875
transcript.pyannote[1918].end 11436.82596875
transcript.pyannote[1919].speaker SPEAKER_21
transcript.pyannote[1919].start 11437.11284375
transcript.pyannote[1919].end 11443.47471875
transcript.pyannote[1920].speaker SPEAKER_21
transcript.pyannote[1920].start 11444.21721875
transcript.pyannote[1920].end 11449.07721875
transcript.pyannote[1921].speaker SPEAKER_21
transcript.pyannote[1921].start 11450.61284375
transcript.pyannote[1921].end 11451.67596875
transcript.pyannote[1922].speaker SPEAKER_21
transcript.pyannote[1922].start 11451.82784375
transcript.pyannote[1922].end 11456.13096875
transcript.pyannote[1923].speaker SPEAKER_05
transcript.pyannote[1923].start 11456.21534375
transcript.pyannote[1923].end 11465.74971875
transcript.pyannote[1924].speaker SPEAKER_21
transcript.pyannote[1924].start 11464.99034375
transcript.pyannote[1924].end 11467.96034375
transcript.pyannote[1925].speaker SPEAKER_05
transcript.pyannote[1925].start 11467.08284375
transcript.pyannote[1925].end 11469.44534375
transcript.pyannote[1926].speaker SPEAKER_21
transcript.pyannote[1926].start 11468.46659375
transcript.pyannote[1926].end 11468.82096875
transcript.pyannote[1927].speaker SPEAKER_21
transcript.pyannote[1927].start 11469.22596875
transcript.pyannote[1927].end 11476.48221875
transcript.pyannote[1928].speaker SPEAKER_21
transcript.pyannote[1928].start 11476.81971875
transcript.pyannote[1928].end 11481.61221875
transcript.pyannote[1929].speaker SPEAKER_21
transcript.pyannote[1929].start 11482.40534375
transcript.pyannote[1929].end 11488.78409375
transcript.pyannote[1930].speaker SPEAKER_21
transcript.pyannote[1930].start 11489.59409375
transcript.pyannote[1930].end 11494.18409375
transcript.pyannote[1931].speaker SPEAKER_21
transcript.pyannote[1931].start 11494.67346875
transcript.pyannote[1931].end 11499.21284375
transcript.pyannote[1932].speaker SPEAKER_21
transcript.pyannote[1932].start 11499.38159375
transcript.pyannote[1932].end 11502.01409375
transcript.pyannote[1933].speaker SPEAKER_21
transcript.pyannote[1933].start 11502.97596875
transcript.pyannote[1933].end 11503.44846875
transcript.pyannote[1934].speaker SPEAKER_21
transcript.pyannote[1934].start 11504.49471875
transcript.pyannote[1934].end 11506.35096875
transcript.pyannote[1935].speaker SPEAKER_21
transcript.pyannote[1935].start 11506.97534375
transcript.pyannote[1935].end 11510.67096875
transcript.pyannote[1936].speaker SPEAKER_21
transcript.pyannote[1936].start 11511.19409375
transcript.pyannote[1936].end 11515.15971875
transcript.pyannote[1937].speaker SPEAKER_21
transcript.pyannote[1937].start 11515.31159375
transcript.pyannote[1937].end 11516.96534375
transcript.pyannote[1938].speaker SPEAKER_21
transcript.pyannote[1938].start 11517.26909375
transcript.pyannote[1938].end 11518.65284375
transcript.pyannote[1939].speaker SPEAKER_21
transcript.pyannote[1939].start 11518.92284375
transcript.pyannote[1939].end 11521.45409375
transcript.pyannote[1940].speaker SPEAKER_21
transcript.pyannote[1940].start 11521.74096875
transcript.pyannote[1940].end 11524.10346875
transcript.pyannote[1941].speaker SPEAKER_21
transcript.pyannote[1941].start 11524.37346875
transcript.pyannote[1941].end 11527.52909375
transcript.pyannote[1942].speaker SPEAKER_21
transcript.pyannote[1942].start 11527.81596875
transcript.pyannote[1942].end 11529.95909375
transcript.pyannote[1943].speaker SPEAKER_21
transcript.pyannote[1943].start 11530.48221875
transcript.pyannote[1943].end 11534.93721875
transcript.pyannote[1944].speaker SPEAKER_21
transcript.pyannote[1944].start 11535.42659375
transcript.pyannote[1944].end 11537.83971875
transcript.pyannote[1945].speaker SPEAKER_32
transcript.pyannote[1945].start 11538.59909375
transcript.pyannote[1945].end 11544.96096875
transcript.pyannote[1946].speaker SPEAKER_32
transcript.pyannote[1946].start 11545.55159375
transcript.pyannote[1946].end 11566.12221875
transcript.pyannote[1947].speaker SPEAKER_32
transcript.pyannote[1947].start 11566.39221875
transcript.pyannote[1947].end 11569.86846875
transcript.pyannote[1948].speaker SPEAKER_21
transcript.pyannote[1948].start 11569.02471875
transcript.pyannote[1948].end 11579.92596875
transcript.pyannote[1949].speaker SPEAKER_21
transcript.pyannote[1949].start 11580.19596875
transcript.pyannote[1949].end 11586.10221875
transcript.pyannote[1950].speaker SPEAKER_21
transcript.pyannote[1950].start 11586.15284375
transcript.pyannote[1950].end 11588.12721875
transcript.pyannote[1951].speaker SPEAKER_21
transcript.pyannote[1951].start 11588.29596875
transcript.pyannote[1951].end 11590.35471875
transcript.pyannote[1952].speaker SPEAKER_21
transcript.pyannote[1952].start 11591.18159375
transcript.pyannote[1952].end 11594.69159375
transcript.pyannote[1953].speaker SPEAKER_21
transcript.pyannote[1953].start 11595.13034375
transcript.pyannote[1953].end 11596.51409375
transcript.pyannote[1954].speaker SPEAKER_21
transcript.pyannote[1954].start 11597.29034375
transcript.pyannote[1954].end 11609.32221875
transcript.pyannote[1955].speaker SPEAKER_21
transcript.pyannote[1955].start 11609.77784375
transcript.pyannote[1955].end 11612.78159375
transcript.pyannote[1956].speaker SPEAKER_24
transcript.pyannote[1956].start 11612.46096875
transcript.pyannote[1956].end 11613.10221875
transcript.pyannote[1957].speaker SPEAKER_21
transcript.pyannote[1957].start 11613.18659375
transcript.pyannote[1957].end 11615.86971875
transcript.pyannote[1958].speaker SPEAKER_21
transcript.pyannote[1958].start 11616.27471875
transcript.pyannote[1958].end 11617.97909375
transcript.pyannote[1959].speaker SPEAKER_21
transcript.pyannote[1959].start 11618.13096875
transcript.pyannote[1959].end 11621.94471875
transcript.pyannote[1960].speaker SPEAKER_21
transcript.pyannote[1960].start 11622.28221875
transcript.pyannote[1960].end 11623.88534375
transcript.pyannote[1961].speaker SPEAKER_32
transcript.pyannote[1961].start 11624.05409375
transcript.pyannote[1961].end 11630.77034375
transcript.pyannote[1962].speaker SPEAKER_32
transcript.pyannote[1962].start 11631.63096875
transcript.pyannote[1962].end 11640.74346875
transcript.pyannote[1963].speaker SPEAKER_32
transcript.pyannote[1963].start 11641.24971875
transcript.pyannote[1963].end 11646.70034375
transcript.pyannote[1964].speaker SPEAKER_32
transcript.pyannote[1964].start 11647.07159375
transcript.pyannote[1964].end 11648.52284375
transcript.pyannote[1965].speaker SPEAKER_21
transcript.pyannote[1965].start 11648.52284375
transcript.pyannote[1965].end 11651.54346875
transcript.pyannote[1966].speaker SPEAKER_32
transcript.pyannote[1966].start 11651.67846875
transcript.pyannote[1966].end 11651.94846875
transcript.pyannote[1967].speaker SPEAKER_21
transcript.pyannote[1967].start 11651.94846875
transcript.pyannote[1967].end 11653.19721875
transcript.pyannote[1968].speaker SPEAKER_21
transcript.pyannote[1968].start 11654.26034375
transcript.pyannote[1968].end 11664.33471875
transcript.pyannote[1969].speaker SPEAKER_32
transcript.pyannote[1969].start 11664.33471875
transcript.pyannote[1969].end 11664.57096875
transcript.pyannote[1970].speaker SPEAKER_21
transcript.pyannote[1970].start 11664.57096875
transcript.pyannote[1970].end 11667.08534375
transcript.pyannote[1971].speaker SPEAKER_32
transcript.pyannote[1971].start 11664.80721875
transcript.pyannote[1971].end 11670.52784375
transcript.pyannote[1972].speaker SPEAKER_29
transcript.pyannote[1972].start 11671.35471875
transcript.pyannote[1972].end 11720.03909375
transcript.pyannote[1973].speaker SPEAKER_21
transcript.pyannote[1973].start 11720.03909375
transcript.pyannote[1973].end 11726.26596875
transcript.pyannote[1974].speaker SPEAKER_24
transcript.pyannote[1974].start 11726.26596875
transcript.pyannote[1974].end 11726.65409375
transcript.pyannote[1975].speaker SPEAKER_21
transcript.pyannote[1975].start 11726.53596875
transcript.pyannote[1975].end 11729.10096875
transcript.pyannote[1976].speaker SPEAKER_21
transcript.pyannote[1976].start 11729.52284375
transcript.pyannote[1976].end 11735.54721875
transcript.pyannote[1977].speaker SPEAKER_21
transcript.pyannote[1977].start 11735.85096875
transcript.pyannote[1977].end 11739.76596875
transcript.pyannote[1978].speaker SPEAKER_25
transcript.pyannote[1978].start 11739.76596875
transcript.pyannote[1978].end 11740.20471875
transcript.pyannote[1979].speaker SPEAKER_21
transcript.pyannote[1979].start 11740.06971875
transcript.pyannote[1979].end 11742.39846875
transcript.pyannote[1980].speaker SPEAKER_25
transcript.pyannote[1980].start 11742.39846875
transcript.pyannote[1980].end 11742.65159375
transcript.pyannote[1981].speaker SPEAKER_25
transcript.pyannote[1981].start 11742.87096875
transcript.pyannote[1981].end 11743.25909375
transcript.pyannote[1982].speaker SPEAKER_21
transcript.pyannote[1982].start 11743.25909375
transcript.pyannote[1982].end 11750.04284375
transcript.pyannote[1983].speaker SPEAKER_25
transcript.pyannote[1983].start 11748.38909375
transcript.pyannote[1983].end 11748.43971875
transcript.pyannote[1984].speaker SPEAKER_29
transcript.pyannote[1984].start 11748.43971875
transcript.pyannote[1984].end 11756.13471875
transcript.pyannote[1985].speaker SPEAKER_21
transcript.pyannote[1985].start 11753.18159375
transcript.pyannote[1985].end 11761.02846875
transcript.pyannote[1986].speaker SPEAKER_21
transcript.pyannote[1986].start 11761.55159375
transcript.pyannote[1986].end 11764.40346875
transcript.pyannote[1987].speaker SPEAKER_21
transcript.pyannote[1987].start 11764.69034375
transcript.pyannote[1987].end 11765.07846875
transcript.pyannote[1988].speaker SPEAKER_21
transcript.pyannote[1988].start 11765.53409375
transcript.pyannote[1988].end 11770.09034375
transcript.pyannote[1989].speaker SPEAKER_21
transcript.pyannote[1989].start 11770.69784375
transcript.pyannote[1989].end 11776.55346875
transcript.pyannote[1990].speaker SPEAKER_21
transcript.pyannote[1990].start 11777.09346875
transcript.pyannote[1990].end 11780.55284375
transcript.pyannote[1991].speaker SPEAKER_21
transcript.pyannote[1991].start 11780.99159375
transcript.pyannote[1991].end 11786.81346875
transcript.pyannote[1992].speaker SPEAKER_24
transcript.pyannote[1992].start 11784.46784375
transcript.pyannote[1992].end 11785.04159375
transcript.pyannote[1993].speaker SPEAKER_21
transcript.pyannote[1993].start 11787.06659375
transcript.pyannote[1993].end 11787.53909375
transcript.pyannote[1994].speaker SPEAKER_21
transcript.pyannote[1994].start 11787.70784375
transcript.pyannote[1994].end 11813.79659375
transcript.pyannote[1995].speaker SPEAKER_29
transcript.pyannote[1995].start 11792.12909375
transcript.pyannote[1995].end 11792.70284375
transcript.pyannote[1996].speaker SPEAKER_00
transcript.pyannote[1996].start 11795.53784375
transcript.pyannote[1996].end 11796.92159375
transcript.pyannote[1997].speaker SPEAKER_21
transcript.pyannote[1997].start 11813.93159375
transcript.pyannote[1997].end 11816.53034375
transcript.pyannote[1998].speaker SPEAKER_21
transcript.pyannote[1998].start 11817.12096875
transcript.pyannote[1998].end 11821.42409375
transcript.pyannote[1999].speaker SPEAKER_25
transcript.pyannote[1999].start 11821.42409375
transcript.pyannote[1999].end 11821.52534375
transcript.pyannote[2000].speaker SPEAKER_21
transcript.pyannote[2000].start 11821.52534375
transcript.pyannote[2000].end 11822.53784375
transcript.pyannote[2001].speaker SPEAKER_21
transcript.pyannote[2001].start 11822.90909375
transcript.pyannote[2001].end 11827.80284375
transcript.pyannote[2002].speaker SPEAKER_25
transcript.pyannote[2002].start 11824.96784375
transcript.pyannote[2002].end 11826.41909375
transcript.pyannote[2003].speaker SPEAKER_28
transcript.pyannote[2003].start 11826.41909375
transcript.pyannote[2003].end 11826.84096875
transcript.pyannote[2004].speaker SPEAKER_21
transcript.pyannote[2004].start 11828.15721875
transcript.pyannote[2004].end 11828.59596875
transcript.pyannote[2005].speaker SPEAKER_21
transcript.pyannote[2005].start 11828.96721875
transcript.pyannote[2005].end 11829.96284375
transcript.pyannote[2006].speaker SPEAKER_28
transcript.pyannote[2006].start 11829.96284375
transcript.pyannote[2006].end 11830.38471875
transcript.pyannote[2007].speaker SPEAKER_21
transcript.pyannote[2007].start 11830.38471875
transcript.pyannote[2007].end 11830.57034375
transcript.pyannote[2008].speaker SPEAKER_28
transcript.pyannote[2008].start 11830.57034375
transcript.pyannote[2008].end 11832.66284375
transcript.pyannote[2009].speaker SPEAKER_13
transcript.pyannote[2009].start 11839.88534375
transcript.pyannote[2009].end 11842.21409375
transcript.pyannote[2010].speaker SPEAKER_17
transcript.pyannote[2010].start 11852.96346875
transcript.pyannote[2010].end 11854.93784375
transcript.pyannote[2011].speaker SPEAKER_17
transcript.pyannote[2011].start 11854.95471875
transcript.pyannote[2011].end 11855.91659375
transcript.pyannote[2012].speaker SPEAKER_17
transcript.pyannote[2012].start 11860.97909375
transcript.pyannote[2012].end 11864.53971875
transcript.pyannote[2013].speaker SPEAKER_17
transcript.pyannote[2013].start 11864.86034375
transcript.pyannote[2013].end 11896.90596875
transcript.pyannote[2014].speaker SPEAKER_24
transcript.pyannote[2014].start 11868.64034375
transcript.pyannote[2014].end 11868.74159375
transcript.pyannote[2015].speaker SPEAKER_24
transcript.pyannote[2015].start 11868.85971875
transcript.pyannote[2015].end 11868.91034375
transcript.pyannote[2016].speaker SPEAKER_16
transcript.pyannote[2016].start 11880.50346875
transcript.pyannote[2016].end 11880.94221875
transcript.pyannote[2017].speaker SPEAKER_16
transcript.pyannote[2017].start 11881.02659375
transcript.pyannote[2017].end 11881.07721875
transcript.pyannote[2018].speaker SPEAKER_25
transcript.pyannote[2018].start 11896.45034375
transcript.pyannote[2018].end 11897.20971875
transcript.pyannote[2019].speaker SPEAKER_17
transcript.pyannote[2019].start 11897.12534375
transcript.pyannote[2019].end 11903.67284375
transcript.pyannote[2020].speaker SPEAKER_17
transcript.pyannote[2020].start 11903.80784375
transcript.pyannote[2020].end 11920.66596875
transcript.pyannote[2021].speaker SPEAKER_16
transcript.pyannote[2021].start 11914.75971875
transcript.pyannote[2021].end 11915.13096875
transcript.pyannote[2022].speaker SPEAKER_16
transcript.pyannote[2022].start 11920.58159375
transcript.pyannote[2022].end 11920.96971875
transcript.pyannote[2023].speaker SPEAKER_17
transcript.pyannote[2023].start 11920.80096875
transcript.pyannote[2023].end 11923.77096875
transcript.pyannote[2024].speaker SPEAKER_17
transcript.pyannote[2024].start 11924.15909375
transcript.pyannote[2024].end 11942.48534375
transcript.pyannote[2025].speaker SPEAKER_24
transcript.pyannote[2025].start 11935.24596875
transcript.pyannote[2025].end 11935.51596875
transcript.pyannote[2026].speaker SPEAKER_29
transcript.pyannote[2026].start 11935.51596875
transcript.pyannote[2026].end 11935.53284375
transcript.pyannote[2027].speaker SPEAKER_24
transcript.pyannote[2027].start 11936.86596875
transcript.pyannote[2027].end 11937.10221875
transcript.pyannote[2028].speaker SPEAKER_29
transcript.pyannote[2028].start 11942.53596875
transcript.pyannote[2028].end 12009.63096875
transcript.pyannote[2029].speaker SPEAKER_17
transcript.pyannote[2029].start 11953.18409375
transcript.pyannote[2029].end 11955.15846875
transcript.pyannote[2030].speaker SPEAKER_00
transcript.pyannote[2030].start 11955.15846875
transcript.pyannote[2030].end 11955.36096875
transcript.pyannote[2031].speaker SPEAKER_17
transcript.pyannote[2031].start 11955.36096875
transcript.pyannote[2031].end 11955.81659375
transcript.pyannote[2032].speaker SPEAKER_12
transcript.pyannote[2032].start 11957.18346875
transcript.pyannote[2032].end 11957.25096875
transcript.pyannote[2033].speaker SPEAKER_17
transcript.pyannote[2033].start 11957.25096875
transcript.pyannote[2033].end 11957.36909375
transcript.pyannote[2034].speaker SPEAKER_17
transcript.pyannote[2034].start 12009.90096875
transcript.pyannote[2034].end 12014.74409375
transcript.pyannote[2035].speaker SPEAKER_24
transcript.pyannote[2035].start 12014.60909375
transcript.pyannote[2035].end 12014.69346875
transcript.pyannote[2036].speaker SPEAKER_24
transcript.pyannote[2036].start 12014.74409375
transcript.pyannote[2036].end 12015.08159375
transcript.pyannote[2037].speaker SPEAKER_17
transcript.pyannote[2037].start 12014.86221875
transcript.pyannote[2037].end 12032.34471875
transcript.pyannote[2038].speaker SPEAKER_24
transcript.pyannote[2038].start 12017.46096875
transcript.pyannote[2038].end 12017.84909375
transcript.pyannote[2039].speaker SPEAKER_00
transcript.pyannote[2039].start 12023.16471875
transcript.pyannote[2039].end 12023.18159375
transcript.pyannote[2040].speaker SPEAKER_24
transcript.pyannote[2040].start 12023.18159375
transcript.pyannote[2040].end 12023.80596875
transcript.pyannote[2041].speaker SPEAKER_00
transcript.pyannote[2041].start 12025.89846875
transcript.pyannote[2041].end 12025.91534375
transcript.pyannote[2042].speaker SPEAKER_24
transcript.pyannote[2042].start 12025.91534375
transcript.pyannote[2042].end 12026.30346875
transcript.pyannote[2043].speaker SPEAKER_24
transcript.pyannote[2043].start 12030.64034375
transcript.pyannote[2043].end 12031.24784375
transcript.pyannote[2044].speaker SPEAKER_24
transcript.pyannote[2044].start 12032.34471875
transcript.pyannote[2044].end 12033.07034375
transcript.pyannote[2045].speaker SPEAKER_17
transcript.pyannote[2045].start 12032.86784375
transcript.pyannote[2045].end 12038.18346875
transcript.pyannote[2046].speaker SPEAKER_24
transcript.pyannote[2046].start 12035.33159375
transcript.pyannote[2046].end 12035.90534375
transcript.pyannote[2047].speaker SPEAKER_24
transcript.pyannote[2047].start 12036.37784375
transcript.pyannote[2047].end 12036.42846875
transcript.pyannote[2048].speaker SPEAKER_24
transcript.pyannote[2048].start 12036.47909375
transcript.pyannote[2048].end 12036.73221875
transcript.pyannote[2049].speaker SPEAKER_24
transcript.pyannote[2049].start 12038.06534375
transcript.pyannote[2049].end 12038.67284375
transcript.pyannote[2050].speaker SPEAKER_17
transcript.pyannote[2050].start 12038.31846875
transcript.pyannote[2050].end 12053.01659375
transcript.pyannote[2051].speaker SPEAKER_24
transcript.pyannote[2051].start 12052.94909375
transcript.pyannote[2051].end 12053.38784375
transcript.pyannote[2052].speaker SPEAKER_17
transcript.pyannote[2052].start 12053.35409375
transcript.pyannote[2052].end 12055.34534375
transcript.pyannote[2053].speaker SPEAKER_17
transcript.pyannote[2053].start 12055.80096875
transcript.pyannote[2053].end 12058.92284375
transcript.pyannote[2054].speaker SPEAKER_24
transcript.pyannote[2054].start 12058.92284375
transcript.pyannote[2054].end 12059.19284375
transcript.pyannote[2055].speaker SPEAKER_17
transcript.pyannote[2055].start 12059.05784375
transcript.pyannote[2055].end 12062.97284375
transcript.pyannote[2056].speaker SPEAKER_29
transcript.pyannote[2056].start 12062.97284375
transcript.pyannote[2056].end 12110.49284375
transcript.pyannote[2057].speaker SPEAKER_17
transcript.pyannote[2057].start 12110.49284375
transcript.pyannote[2057].end 12115.72409375
transcript.pyannote[2058].speaker SPEAKER_24
transcript.pyannote[2058].start 12115.72409375
transcript.pyannote[2058].end 12116.33159375
transcript.pyannote[2059].speaker SPEAKER_17
transcript.pyannote[2059].start 12116.21346875
transcript.pyannote[2059].end 12127.99221875
transcript.pyannote[2060].speaker SPEAKER_29
transcript.pyannote[2060].start 12128.14409375
transcript.pyannote[2060].end 12128.92034375
transcript.pyannote[2061].speaker SPEAKER_29
transcript.pyannote[2061].start 12129.17346875
transcript.pyannote[2061].end 12131.31659375
transcript.pyannote[2062].speaker SPEAKER_17
transcript.pyannote[2062].start 12130.69221875
transcript.pyannote[2062].end 12135.94034375
transcript.pyannote[2063].speaker SPEAKER_29
transcript.pyannote[2063].start 12131.87346875
transcript.pyannote[2063].end 12131.89034375
transcript.pyannote[2064].speaker SPEAKER_29
transcript.pyannote[2064].start 12133.84784375
transcript.pyannote[2064].end 12137.96534375
transcript.pyannote[2065].speaker SPEAKER_17
transcript.pyannote[2065].start 12137.96534375
transcript.pyannote[2065].end 12141.66096875
transcript.pyannote[2066].speaker SPEAKER_29
transcript.pyannote[2066].start 12138.04971875
transcript.pyannote[2066].end 12138.06659375
transcript.pyannote[2067].speaker SPEAKER_29
transcript.pyannote[2067].start 12140.29409375
transcript.pyannote[2067].end 12143.24721875
transcript.pyannote[2068].speaker SPEAKER_17
transcript.pyannote[2068].start 12142.18409375
transcript.pyannote[2068].end 12148.09034375
transcript.pyannote[2069].speaker SPEAKER_29
transcript.pyannote[2069].start 12144.47909375
transcript.pyannote[2069].end 12144.81659375
transcript.pyannote[2070].speaker SPEAKER_29
transcript.pyannote[2070].start 12148.09034375
transcript.pyannote[2070].end 12156.25784375
transcript.pyannote[2071].speaker SPEAKER_17
transcript.pyannote[2071].start 12156.78096875
transcript.pyannote[2071].end 12194.14221875
transcript.pyannote[2072].speaker SPEAKER_29
transcript.pyannote[2072].start 12194.34471875
transcript.pyannote[2072].end 12204.97596875
transcript.pyannote[2073].speaker SPEAKER_17
transcript.pyannote[2073].start 12204.36846875
transcript.pyannote[2073].end 12205.33034375
transcript.pyannote[2074].speaker SPEAKER_29
transcript.pyannote[2074].start 12205.33034375
transcript.pyannote[2074].end 12222.98159375
transcript.pyannote[2075].speaker SPEAKER_17
transcript.pyannote[2075].start 12206.42721875
transcript.pyannote[2075].end 12206.46096875
transcript.pyannote[2076].speaker SPEAKER_17
transcript.pyannote[2076].start 12223.30221875
transcript.pyannote[2076].end 12223.33596875
transcript.pyannote[2077].speaker SPEAKER_29
transcript.pyannote[2077].start 12223.33596875
transcript.pyannote[2077].end 12223.35284375
transcript.pyannote[2078].speaker SPEAKER_17
transcript.pyannote[2078].start 12223.35284375
transcript.pyannote[2078].end 12232.21221875
transcript.pyannote[2079].speaker SPEAKER_29
transcript.pyannote[2079].start 12230.27159375
transcript.pyannote[2079].end 12230.33909375
transcript.pyannote[2080].speaker SPEAKER_12
transcript.pyannote[2080].start 12230.33909375
transcript.pyannote[2080].end 12230.91284375
transcript.pyannote[2081].speaker SPEAKER_29
transcript.pyannote[2081].start 12230.91284375
transcript.pyannote[2081].end 12230.92971875
transcript.pyannote[2082].speaker SPEAKER_12
transcript.pyannote[2082].start 12231.75659375
transcript.pyannote[2082].end 12232.17846875
transcript.pyannote[2083].speaker SPEAKER_12
transcript.pyannote[2083].start 12232.21221875
transcript.pyannote[2083].end 12232.46534375
transcript.pyannote[2084].speaker SPEAKER_17
transcript.pyannote[2084].start 12232.26284375
transcript.pyannote[2084].end 12235.18221875
transcript.pyannote[2085].speaker SPEAKER_24
transcript.pyannote[2085].start 12232.46534375
transcript.pyannote[2085].end 12232.53284375
transcript.pyannote[2086].speaker SPEAKER_12
transcript.pyannote[2086].start 12235.01346875
transcript.pyannote[2086].end 12235.03034375
transcript.pyannote[2087].speaker SPEAKER_24
transcript.pyannote[2087].start 12235.03034375
transcript.pyannote[2087].end 12235.13159375
transcript.pyannote[2088].speaker SPEAKER_24
transcript.pyannote[2088].start 12235.18221875
transcript.pyannote[2088].end 12235.28346875
transcript.pyannote[2089].speaker SPEAKER_17
transcript.pyannote[2089].start 12235.28346875
transcript.pyannote[2089].end 12248.76659375
transcript.pyannote[2090].speaker SPEAKER_24
transcript.pyannote[2090].start 12235.31721875
transcript.pyannote[2090].end 12235.43534375
transcript.pyannote[2091].speaker SPEAKER_25
transcript.pyannote[2091].start 12240.59909375
transcript.pyannote[2091].end 12241.59471875
transcript.pyannote[2092].speaker SPEAKER_25
transcript.pyannote[2092].start 12246.91034375
transcript.pyannote[2092].end 12246.97784375
transcript.pyannote[2093].speaker SPEAKER_16
transcript.pyannote[2093].start 12246.97784375
transcript.pyannote[2093].end 12247.02846875
transcript.pyannote[2094].speaker SPEAKER_25
transcript.pyannote[2094].start 12247.02846875
transcript.pyannote[2094].end 12247.16346875
transcript.pyannote[2095].speaker SPEAKER_16
transcript.pyannote[2095].start 12247.16346875
transcript.pyannote[2095].end 12247.28159375
transcript.pyannote[2096].speaker SPEAKER_17
transcript.pyannote[2096].start 12249.15471875
transcript.pyannote[2096].end 12257.47409375
transcript.pyannote[2097].speaker SPEAKER_29
transcript.pyannote[2097].start 12257.47409375
transcript.pyannote[2097].end 12258.16596875
transcript.pyannote[2098].speaker SPEAKER_17
transcript.pyannote[2098].start 12257.86221875
transcript.pyannote[2098].end 12263.41409375
transcript.pyannote[2099].speaker SPEAKER_05
transcript.pyannote[2099].start 12270.09659375
transcript.pyannote[2099].end 12270.97409375
transcript.pyannote[2100].speaker SPEAKER_17
transcript.pyannote[2100].start 12270.97409375
transcript.pyannote[2100].end 12271.86846875
transcript.pyannote[2101].speaker SPEAKER_24
transcript.pyannote[2101].start 12271.86846875
transcript.pyannote[2101].end 12271.88534375
transcript.pyannote[2102].speaker SPEAKER_05
transcript.pyannote[2102].start 12271.88534375
transcript.pyannote[2102].end 12271.96971875
transcript.pyannote[2103].speaker SPEAKER_24
transcript.pyannote[2103].start 12271.96971875
transcript.pyannote[2103].end 12272.12159375
transcript.pyannote[2104].speaker SPEAKER_17
transcript.pyannote[2104].start 12272.12159375
transcript.pyannote[2104].end 12292.67534375
transcript.pyannote[2105].speaker SPEAKER_17
transcript.pyannote[2105].start 12293.33346875
transcript.pyannote[2105].end 12296.42159375
transcript.pyannote[2106].speaker SPEAKER_05
transcript.pyannote[2106].start 12296.62409375
transcript.pyannote[2106].end 12310.14096875
transcript.pyannote[2107].speaker SPEAKER_17
transcript.pyannote[2107].start 12310.14096875
transcript.pyannote[2107].end 12324.38346875
transcript.pyannote[2108].speaker SPEAKER_17
transcript.pyannote[2108].start 12324.67034375
transcript.pyannote[2108].end 12326.84721875
transcript.pyannote[2109].speaker SPEAKER_05
transcript.pyannote[2109].start 12327.65721875
transcript.pyannote[2109].end 12329.24346875
transcript.pyannote[2110].speaker SPEAKER_41
transcript.pyannote[2110].start 12330.15471875
transcript.pyannote[2110].end 12346.62471875
transcript.pyannote[2111].speaker SPEAKER_41
transcript.pyannote[2111].start 12346.79346875
transcript.pyannote[2111].end 12347.50221875
transcript.pyannote[2112].speaker SPEAKER_17
transcript.pyannote[2112].start 12347.08034375
transcript.pyannote[2112].end 12347.19846875
transcript.pyannote[2113].speaker SPEAKER_17
transcript.pyannote[2113].start 12347.50221875
transcript.pyannote[2113].end 12348.73409375
transcript.pyannote[2114].speaker SPEAKER_41
transcript.pyannote[2114].start 12349.44284375
transcript.pyannote[2114].end 12361.47471875
transcript.pyannote[2115].speaker SPEAKER_17
transcript.pyannote[2115].start 12361.13721875
transcript.pyannote[2115].end 12365.03534375
transcript.pyannote[2116].speaker SPEAKER_05
transcript.pyannote[2116].start 12365.03534375
transcript.pyannote[2116].end 12370.03034375
transcript.pyannote[2117].speaker SPEAKER_17
transcript.pyannote[2117].start 12365.50784375
transcript.pyannote[2117].end 12365.74409375
transcript.pyannote[2118].speaker SPEAKER_05
transcript.pyannote[2118].start 12370.43534375
transcript.pyannote[2118].end 12373.74284375
transcript.pyannote[2119].speaker SPEAKER_05
transcript.pyannote[2119].start 12374.08034375
transcript.pyannote[2119].end 12376.37534375
transcript.pyannote[2120].speaker SPEAKER_17
transcript.pyannote[2120].start 12376.52721875
transcript.pyannote[2120].end 12382.39971875
transcript.pyannote[2121].speaker SPEAKER_05
transcript.pyannote[2121].start 12382.39971875
transcript.pyannote[2121].end 12384.25596875
transcript.pyannote[2122].speaker SPEAKER_17
transcript.pyannote[2122].start 12383.71596875
transcript.pyannote[2122].end 12384.20534375
transcript.pyannote[2123].speaker SPEAKER_17
transcript.pyannote[2123].start 12384.25596875
transcript.pyannote[2123].end 12384.30659375
transcript.pyannote[2124].speaker SPEAKER_05
transcript.pyannote[2124].start 12384.30659375
transcript.pyannote[2124].end 12384.71159375
transcript.pyannote[2125].speaker SPEAKER_17
transcript.pyannote[2125].start 12384.71159375
transcript.pyannote[2125].end 12384.72846875
transcript.pyannote[2126].speaker SPEAKER_05
transcript.pyannote[2126].start 12384.72846875
transcript.pyannote[2126].end 12384.77909375
transcript.pyannote[2127].speaker SPEAKER_17
transcript.pyannote[2127].start 12384.77909375
transcript.pyannote[2127].end 12387.96846875
transcript.pyannote[2128].speaker SPEAKER_05
transcript.pyannote[2128].start 12384.79596875
transcript.pyannote[2128].end 12385.99409375
transcript.pyannote[2129].speaker SPEAKER_05
transcript.pyannote[2129].start 12386.82096875
transcript.pyannote[2129].end 12389.75721875
transcript.pyannote[2130].speaker SPEAKER_17
transcript.pyannote[2130].start 12389.58846875
transcript.pyannote[2130].end 12389.74034375
transcript.pyannote[2131].speaker SPEAKER_17
transcript.pyannote[2131].start 12389.75721875
transcript.pyannote[2131].end 12390.46596875
transcript.pyannote[2132].speaker SPEAKER_05
transcript.pyannote[2132].start 12390.46596875
transcript.pyannote[2132].end 12390.48284375
transcript.pyannote[2133].speaker SPEAKER_17
transcript.pyannote[2133].start 12390.48284375
transcript.pyannote[2133].end 12390.49971875
transcript.pyannote[2134].speaker SPEAKER_05
transcript.pyannote[2134].start 12390.49971875
transcript.pyannote[2134].end 12390.51659375
transcript.pyannote[2135].speaker SPEAKER_05
transcript.pyannote[2135].start 12397.55346875
transcript.pyannote[2135].end 12397.70534375
transcript.pyannote[2136].speaker SPEAKER_13
transcript.pyannote[2136].start 12398.43096875
transcript.pyannote[2136].end 12398.46471875
transcript.pyannote[2137].speaker SPEAKER_11
transcript.pyannote[2137].start 12398.46471875
transcript.pyannote[2137].end 12398.63346875
transcript.pyannote[2138].speaker SPEAKER_13
transcript.pyannote[2138].start 12398.63346875
transcript.pyannote[2138].end 12398.71784375
transcript.pyannote[2139].speaker SPEAKER_11
transcript.pyannote[2139].start 12398.71784375
transcript.pyannote[2139].end 12398.81909375
transcript.pyannote[2140].speaker SPEAKER_13
transcript.pyannote[2140].start 12398.81909375
transcript.pyannote[2140].end 12398.83596875
transcript.pyannote[2141].speaker SPEAKER_13
transcript.pyannote[2141].start 12400.65846875
transcript.pyannote[2141].end 12401.14784375
transcript.pyannote[2142].speaker SPEAKER_17
transcript.pyannote[2142].start 12413.41596875
transcript.pyannote[2142].end 12415.40721875
transcript.pyannote[2143].speaker SPEAKER_13
transcript.pyannote[2143].start 12419.89596875
transcript.pyannote[2143].end 12422.03909375
transcript.pyannote[2144].speaker SPEAKER_26
transcript.pyannote[2144].start 12428.51909375
transcript.pyannote[2144].end 12428.99159375
transcript.pyannote[2145].speaker SPEAKER_13
transcript.pyannote[2145].start 12429.95346875
transcript.pyannote[2145].end 12432.26534375
transcript.pyannote[2146].speaker SPEAKER_26
transcript.pyannote[2146].start 12432.26534375
transcript.pyannote[2146].end 12432.72096875
transcript.pyannote[2147].speaker SPEAKER_24
transcript.pyannote[2147].start 12432.72096875
transcript.pyannote[2147].end 12432.78846875
transcript.pyannote[2148].speaker SPEAKER_13
transcript.pyannote[2148].start 12432.78846875
transcript.pyannote[2148].end 12439.90971875
transcript.pyannote[2149].speaker SPEAKER_13
transcript.pyannote[2149].start 12440.29784375
transcript.pyannote[2149].end 12448.22909375
transcript.pyannote[2150].speaker SPEAKER_25
transcript.pyannote[2150].start 12448.22909375
transcript.pyannote[2150].end 12448.46534375
transcript.pyannote[2151].speaker SPEAKER_13
transcript.pyannote[2151].start 12448.46534375
transcript.pyannote[2151].end 12452.14409375
transcript.pyannote[2152].speaker SPEAKER_13
transcript.pyannote[2152].start 12452.46471875
transcript.pyannote[2152].end 12455.56971875
transcript.pyannote[2153].speaker SPEAKER_13
transcript.pyannote[2153].start 12456.00846875
transcript.pyannote[2153].end 12457.93221875
transcript.pyannote[2154].speaker SPEAKER_13
transcript.pyannote[2154].start 12458.26971875
transcript.pyannote[2154].end 12460.85159375
transcript.pyannote[2155].speaker SPEAKER_13
transcript.pyannote[2155].start 12461.18909375
transcript.pyannote[2155].end 12462.82596875
transcript.pyannote[2156].speaker SPEAKER_13
transcript.pyannote[2156].start 12463.38284375
transcript.pyannote[2156].end 12463.87221875
transcript.pyannote[2157].speaker SPEAKER_13
transcript.pyannote[2157].start 12463.97346875
transcript.pyannote[2157].end 12478.13159375
transcript.pyannote[2158].speaker SPEAKER_24
transcript.pyannote[2158].start 12478.13159375
transcript.pyannote[2158].end 12478.45221875
transcript.pyannote[2159].speaker SPEAKER_13
transcript.pyannote[2159].start 12478.40159375
transcript.pyannote[2159].end 12486.21471875
transcript.pyannote[2160].speaker SPEAKER_24
transcript.pyannote[2160].start 12486.28221875
transcript.pyannote[2160].end 12486.75471875
transcript.pyannote[2161].speaker SPEAKER_13
transcript.pyannote[2161].start 12486.77159375
transcript.pyannote[2161].end 12513.41721875
transcript.pyannote[2162].speaker SPEAKER_11
transcript.pyannote[2162].start 12509.62034375
transcript.pyannote[2162].end 12509.80596875
transcript.pyannote[2163].speaker SPEAKER_13
transcript.pyannote[2163].start 12513.75471875
transcript.pyannote[2163].end 12518.44596875
transcript.pyannote[2164].speaker SPEAKER_13
transcript.pyannote[2164].start 12518.93534375
transcript.pyannote[2164].end 12522.41159375
transcript.pyannote[2165].speaker SPEAKER_13
transcript.pyannote[2165].start 12522.78284375
transcript.pyannote[2165].end 12523.08659375
transcript.pyannote[2166].speaker SPEAKER_13
transcript.pyannote[2166].start 12523.50846875
transcript.pyannote[2166].end 12523.96409375
transcript.pyannote[2167].speaker SPEAKER_13
transcript.pyannote[2167].start 12526.20846875
transcript.pyannote[2167].end 12529.04346875
transcript.pyannote[2168].speaker SPEAKER_13
transcript.pyannote[2168].start 12529.78596875
transcript.pyannote[2168].end 12532.38471875
transcript.pyannote[2169].speaker SPEAKER_13
transcript.pyannote[2169].start 12532.50284375
transcript.pyannote[2169].end 12547.55534375
transcript.pyannote[2170].speaker SPEAKER_13
transcript.pyannote[2170].start 12547.85909375
transcript.pyannote[2170].end 12551.31846875
transcript.pyannote[2171].speaker SPEAKER_13
transcript.pyannote[2171].start 12551.55471875
transcript.pyannote[2171].end 12552.78659375
transcript.pyannote[2172].speaker SPEAKER_29
transcript.pyannote[2172].start 12554.89596875
transcript.pyannote[2172].end 12571.88909375
transcript.pyannote[2173].speaker SPEAKER_07
transcript.pyannote[2173].start 12562.40534375
transcript.pyannote[2173].end 12562.86096875
transcript.pyannote[2174].speaker SPEAKER_00
transcript.pyannote[2174].start 12562.86096875
transcript.pyannote[2174].end 12562.89471875
transcript.pyannote[2175].speaker SPEAKER_00
transcript.pyannote[2175].start 12565.96596875
transcript.pyannote[2175].end 12566.52284375
transcript.pyannote[2176].speaker SPEAKER_29
transcript.pyannote[2176].start 12572.22659375
transcript.pyannote[2176].end 12577.59284375
transcript.pyannote[2177].speaker SPEAKER_13
transcript.pyannote[2177].start 12577.08659375
transcript.pyannote[2177].end 12586.36784375
transcript.pyannote[2178].speaker SPEAKER_29
transcript.pyannote[2178].start 12581.77784375
transcript.pyannote[2178].end 12581.81159375
transcript.pyannote[2179].speaker SPEAKER_29
transcript.pyannote[2179].start 12581.84534375
transcript.pyannote[2179].end 12581.92971875
transcript.pyannote[2180].speaker SPEAKER_13
transcript.pyannote[2180].start 12586.78971875
transcript.pyannote[2180].end 12590.14784375
transcript.pyannote[2181].speaker SPEAKER_13
transcript.pyannote[2181].start 12590.90721875
transcript.pyannote[2181].end 12604.03596875
transcript.pyannote[2182].speaker SPEAKER_13
transcript.pyannote[2182].start 12604.74471875
transcript.pyannote[2182].end 12605.38596875
transcript.pyannote[2183].speaker SPEAKER_13
transcript.pyannote[2183].start 12606.16221875
transcript.pyannote[2183].end 12608.27159375
transcript.pyannote[2184].speaker SPEAKER_13
transcript.pyannote[2184].start 12608.76096875
transcript.pyannote[2184].end 12612.03471875
transcript.pyannote[2185].speaker SPEAKER_13
transcript.pyannote[2185].start 12612.77721875
transcript.pyannote[2185].end 12615.61221875
transcript.pyannote[2186].speaker SPEAKER_13
transcript.pyannote[2186].start 12616.27034375
transcript.pyannote[2186].end 12619.64534375
transcript.pyannote[2187].speaker SPEAKER_13
transcript.pyannote[2187].start 12619.88159375
transcript.pyannote[2187].end 12620.57346875
transcript.pyannote[2188].speaker SPEAKER_13
transcript.pyannote[2188].start 12620.99534375
transcript.pyannote[2188].end 12636.46971875
transcript.pyannote[2189].speaker SPEAKER_13
transcript.pyannote[2189].start 12636.48659375
transcript.pyannote[2189].end 12638.62971875
transcript.pyannote[2190].speaker SPEAKER_29
transcript.pyannote[2190].start 12639.43971875
transcript.pyannote[2190].end 12643.35471875
transcript.pyannote[2191].speaker SPEAKER_29
transcript.pyannote[2191].start 12643.67534375
transcript.pyannote[2191].end 12649.59846875
transcript.pyannote[2192].speaker SPEAKER_13
transcript.pyannote[2192].start 12643.82721875
transcript.pyannote[2192].end 12644.31659375
transcript.pyannote[2193].speaker SPEAKER_13
transcript.pyannote[2193].start 12644.75534375
transcript.pyannote[2193].end 12645.16034375
transcript.pyannote[2194].speaker SPEAKER_13
transcript.pyannote[2194].start 12646.18971875
transcript.pyannote[2194].end 12646.57784375
transcript.pyannote[2195].speaker SPEAKER_29
transcript.pyannote[2195].start 12649.64909375
transcript.pyannote[2195].end 12650.42534375
transcript.pyannote[2196].speaker SPEAKER_13
transcript.pyannote[2196].start 12650.42534375
transcript.pyannote[2196].end 12650.99909375
transcript.pyannote[2197].speaker SPEAKER_29
transcript.pyannote[2197].start 12650.74596875
transcript.pyannote[2197].end 12651.43784375
transcript.pyannote[2198].speaker SPEAKER_13
transcript.pyannote[2198].start 12651.43784375
transcript.pyannote[2198].end 12662.23784375
transcript.pyannote[2199].speaker SPEAKER_29
transcript.pyannote[2199].start 12655.26846875
transcript.pyannote[2199].end 12655.94346875
transcript.pyannote[2200].speaker SPEAKER_13
transcript.pyannote[2200].start 12662.54159375
transcript.pyannote[2200].end 12663.13221875
transcript.pyannote[2201].speaker SPEAKER_13
transcript.pyannote[2201].start 12663.95909375
transcript.pyannote[2201].end 12666.11909375
transcript.pyannote[2202].speaker SPEAKER_29
transcript.pyannote[2202].start 12666.11909375
transcript.pyannote[2202].end 12666.13596875
transcript.pyannote[2203].speaker SPEAKER_29
transcript.pyannote[2203].start 12668.11034375
transcript.pyannote[2203].end 12670.50659375
transcript.pyannote[2204].speaker SPEAKER_00
transcript.pyannote[2204].start 12672.53159375
transcript.pyannote[2204].end 12681.42471875
transcript.pyannote[2205].speaker SPEAKER_41
transcript.pyannote[2205].start 12681.37409375
transcript.pyannote[2205].end 12682.42034375
transcript.pyannote[2206].speaker SPEAKER_00
transcript.pyannote[2206].start 12682.42034375
transcript.pyannote[2206].end 12684.74909375
transcript.pyannote[2207].speaker SPEAKER_00
transcript.pyannote[2207].start 12685.15409375
transcript.pyannote[2207].end 12685.17096875
transcript.pyannote[2208].speaker SPEAKER_41
transcript.pyannote[2208].start 12685.17096875
transcript.pyannote[2208].end 12685.59284375
transcript.pyannote[2209].speaker SPEAKER_00
transcript.pyannote[2209].start 12685.20471875
transcript.pyannote[2209].end 12691.17846875
transcript.pyannote[2210].speaker SPEAKER_13
transcript.pyannote[2210].start 12685.59284375
transcript.pyannote[2210].end 12685.64346875
transcript.pyannote[2211].speaker SPEAKER_13
transcript.pyannote[2211].start 12688.10721875
transcript.pyannote[2211].end 12688.88346875
transcript.pyannote[2212].speaker SPEAKER_13
transcript.pyannote[2212].start 12689.89596875
transcript.pyannote[2212].end 12695.76846875
transcript.pyannote[2213].speaker SPEAKER_00
transcript.pyannote[2213].start 12694.85721875
transcript.pyannote[2213].end 12695.19471875
transcript.pyannote[2214].speaker SPEAKER_00
transcript.pyannote[2214].start 12695.43096875
transcript.pyannote[2214].end 12697.87784375
transcript.pyannote[2215].speaker SPEAKER_00
transcript.pyannote[2215].start 12698.21534375
transcript.pyannote[2215].end 12699.86909375
transcript.pyannote[2216].speaker SPEAKER_13
transcript.pyannote[2216].start 12699.09284375
transcript.pyannote[2216].end 12699.58221875
transcript.pyannote[2217].speaker SPEAKER_13
transcript.pyannote[2217].start 12699.66659375
transcript.pyannote[2217].end 12707.41221875
transcript.pyannote[2218].speaker SPEAKER_24
transcript.pyannote[2218].start 12702.04596875
transcript.pyannote[2218].end 12705.10034375
transcript.pyannote[2219].speaker SPEAKER_24
transcript.pyannote[2219].start 12706.97346875
transcript.pyannote[2219].end 12707.14221875
transcript.pyannote[2220].speaker SPEAKER_24
transcript.pyannote[2220].start 12707.76659375
transcript.pyannote[2220].end 12708.45846875
transcript.pyannote[2221].speaker SPEAKER_13
transcript.pyannote[2221].start 12708.69471875
transcript.pyannote[2221].end 12714.06096875
transcript.pyannote[2222].speaker SPEAKER_25
transcript.pyannote[2222].start 12710.50034375
transcript.pyannote[2222].end 12710.65221875
transcript.pyannote[2223].speaker SPEAKER_24
transcript.pyannote[2223].start 12710.65221875
transcript.pyannote[2223].end 12711.39471875
transcript.pyannote[2224].speaker SPEAKER_13
transcript.pyannote[2224].start 12714.26346875
transcript.pyannote[2224].end 12715.02284375
transcript.pyannote[2225].speaker SPEAKER_29
transcript.pyannote[2225].start 12714.58409375
transcript.pyannote[2225].end 12715.20846875
transcript.pyannote[2226].speaker SPEAKER_13
transcript.pyannote[2226].start 12715.20846875
transcript.pyannote[2226].end 12715.24221875
transcript.pyannote[2227].speaker SPEAKER_29
transcript.pyannote[2227].start 12715.24221875
transcript.pyannote[2227].end 12715.84971875
transcript.pyannote[2228].speaker SPEAKER_13
transcript.pyannote[2228].start 12715.57971875
transcript.pyannote[2228].end 12715.74846875
transcript.pyannote[2229].speaker SPEAKER_13
transcript.pyannote[2229].start 12715.84971875
transcript.pyannote[2229].end 12715.96784375
transcript.pyannote[2230].speaker SPEAKER_29
transcript.pyannote[2230].start 12715.96784375
transcript.pyannote[2230].end 12716.30534375
transcript.pyannote[2231].speaker SPEAKER_29
transcript.pyannote[2231].start 12716.76096875
transcript.pyannote[2231].end 12717.21659375
transcript.pyannote[2232].speaker SPEAKER_13
transcript.pyannote[2232].start 12717.21659375
transcript.pyannote[2232].end 12717.23346875
transcript.pyannote[2233].speaker SPEAKER_29
transcript.pyannote[2233].start 12717.23346875
transcript.pyannote[2233].end 12717.25034375
transcript.pyannote[2234].speaker SPEAKER_12
transcript.pyannote[2234].start 12723.07221875
transcript.pyannote[2234].end 12723.35909375
transcript.pyannote[2235].speaker SPEAKER_13
transcript.pyannote[2235].start 12731.86409375
transcript.pyannote[2235].end 12734.31096875
transcript.pyannote[2236].speaker SPEAKER_13
transcript.pyannote[2236].start 12734.88471875
transcript.pyannote[2236].end 12737.31471875
transcript.pyannote[2237].speaker SPEAKER_13
transcript.pyannote[2237].start 12737.63534375
transcript.pyannote[2237].end 12739.87971875
transcript.pyannote[2238].speaker SPEAKER_48
transcript.pyannote[2238].start 12745.98846875
transcript.pyannote[2238].end 12748.11471875
transcript.pyannote[2239].speaker SPEAKER_13
transcript.pyannote[2239].start 12748.19909375
transcript.pyannote[2239].end 12749.26221875
transcript.pyannote[2240].speaker SPEAKER_13
transcript.pyannote[2240].start 12755.55659375
transcript.pyannote[2240].end 12755.57346875
transcript.pyannote[2241].speaker SPEAKER_12
transcript.pyannote[2241].start 12755.57346875
transcript.pyannote[2241].end 12755.77596875
transcript.pyannote[2242].speaker SPEAKER_48
transcript.pyannote[2242].start 12755.77596875
transcript.pyannote[2242].end 12755.79284375
transcript.pyannote[2243].speaker SPEAKER_12
transcript.pyannote[2243].start 12755.79284375
transcript.pyannote[2243].end 12755.80971875
transcript.pyannote[2244].speaker SPEAKER_48
transcript.pyannote[2244].start 12755.80971875
transcript.pyannote[2244].end 12785.72909375
transcript.pyannote[2245].speaker SPEAKER_12
transcript.pyannote[2245].start 12762.52596875
transcript.pyannote[2245].end 12762.81284375
transcript.pyannote[2246].speaker SPEAKER_46
transcript.pyannote[2246].start 12785.72909375
transcript.pyannote[2246].end 12786.08346875
transcript.pyannote[2247].speaker SPEAKER_48
transcript.pyannote[2247].start 12785.89784375
transcript.pyannote[2247].end 12793.84596875
transcript.pyannote[2248].speaker SPEAKER_48
transcript.pyannote[2248].start 12794.06534375
transcript.pyannote[2248].end 12798.35159375
transcript.pyannote[2249].speaker SPEAKER_48
transcript.pyannote[2249].start 12798.99284375
transcript.pyannote[2249].end 12815.88471875
transcript.pyannote[2250].speaker SPEAKER_48
transcript.pyannote[2250].start 12816.28971875
transcript.pyannote[2250].end 12820.10346875
transcript.pyannote[2251].speaker SPEAKER_48
transcript.pyannote[2251].start 12820.37346875
transcript.pyannote[2251].end 12831.64596875
transcript.pyannote[2252].speaker SPEAKER_29
transcript.pyannote[2252].start 12829.90784375
transcript.pyannote[2252].end 12830.17784375
transcript.pyannote[2253].speaker SPEAKER_29
transcript.pyannote[2253].start 12831.64596875
transcript.pyannote[2253].end 12837.58596875
transcript.pyannote[2254].speaker SPEAKER_48
transcript.pyannote[2254].start 12838.00784375
transcript.pyannote[2254].end 12842.10846875
transcript.pyannote[2255].speaker SPEAKER_48
transcript.pyannote[2255].start 12842.44596875
transcript.pyannote[2255].end 12843.17159375
transcript.pyannote[2256].speaker SPEAKER_29
transcript.pyannote[2256].start 12843.52596875
transcript.pyannote[2256].end 12845.33159375
transcript.pyannote[2257].speaker SPEAKER_48
transcript.pyannote[2257].start 12843.54284375
transcript.pyannote[2257].end 12844.45409375
transcript.pyannote[2258].speaker SPEAKER_29
transcript.pyannote[2258].start 12846.05721875
transcript.pyannote[2258].end 12848.16659375
transcript.pyannote[2259].speaker SPEAKER_48
transcript.pyannote[2259].start 12846.20909375
transcript.pyannote[2259].end 12847.49159375
transcript.pyannote[2260].speaker SPEAKER_48
transcript.pyannote[2260].start 12848.60534375
transcript.pyannote[2260].end 12850.37721875
transcript.pyannote[2261].speaker SPEAKER_48
transcript.pyannote[2261].start 12850.83284375
transcript.pyannote[2261].end 12860.56971875
transcript.pyannote[2262].speaker SPEAKER_48
transcript.pyannote[2262].start 12860.77221875
transcript.pyannote[2262].end 12864.14721875
transcript.pyannote[2263].speaker SPEAKER_48
transcript.pyannote[2263].start 12864.36659375
transcript.pyannote[2263].end 12864.80534375
transcript.pyannote[2264].speaker SPEAKER_48
transcript.pyannote[2264].start 12865.42971875
transcript.pyannote[2264].end 12870.42471875
transcript.pyannote[2265].speaker SPEAKER_29
transcript.pyannote[2265].start 12870.55971875
transcript.pyannote[2265].end 12887.02971875
transcript.pyannote[2266].speaker SPEAKER_48
transcript.pyannote[2266].start 12878.01846875
transcript.pyannote[2266].end 12878.28846875
transcript.pyannote[2267].speaker SPEAKER_00
transcript.pyannote[2267].start 12878.28846875
transcript.pyannote[2267].end 12878.52471875
transcript.pyannote[2268].speaker SPEAKER_48
transcript.pyannote[2268].start 12884.63346875
transcript.pyannote[2268].end 12884.98784375
transcript.pyannote[2269].speaker SPEAKER_48
transcript.pyannote[2269].start 12886.62471875
transcript.pyannote[2269].end 12888.46409375
transcript.pyannote[2270].speaker SPEAKER_29
transcript.pyannote[2270].start 12888.80159375
transcript.pyannote[2270].end 12896.90159375
transcript.pyannote[2271].speaker SPEAKER_48
transcript.pyannote[2271].start 12892.53096875
transcript.pyannote[2271].end 12893.34096875
transcript.pyannote[2272].speaker SPEAKER_48
transcript.pyannote[2272].start 12896.32784375
transcript.pyannote[2272].end 12904.61346875
transcript.pyannote[2273].speaker SPEAKER_29
transcript.pyannote[2273].start 12905.20409375
transcript.pyannote[2273].end 12915.98721875
transcript.pyannote[2274].speaker SPEAKER_48
transcript.pyannote[2274].start 12915.70034375
transcript.pyannote[2274].end 12929.63909375
transcript.pyannote[2275].speaker SPEAKER_48
transcript.pyannote[2275].start 12930.22971875
transcript.pyannote[2275].end 12938.09346875
transcript.pyannote[2276].speaker SPEAKER_29
transcript.pyannote[2276].start 12937.19909375
transcript.pyannote[2276].end 12964.26659375
transcript.pyannote[2277].speaker SPEAKER_48
transcript.pyannote[2277].start 12942.66659375
transcript.pyannote[2277].end 12943.12221875
transcript.pyannote[2278].speaker SPEAKER_48
transcript.pyannote[2278].start 12944.64096875
transcript.pyannote[2278].end 12945.11346875
transcript.pyannote[2279].speaker SPEAKER_00
transcript.pyannote[2279].start 12945.11346875
transcript.pyannote[2279].end 12945.16409375
transcript.pyannote[2280].speaker SPEAKER_00
transcript.pyannote[2280].start 12949.48409375
transcript.pyannote[2280].end 12949.97346875
transcript.pyannote[2281].speaker SPEAKER_48
transcript.pyannote[2281].start 12962.22471875
transcript.pyannote[2281].end 12966.52784375
transcript.pyannote[2282].speaker SPEAKER_06
transcript.pyannote[2282].start 12969.43034375
transcript.pyannote[2282].end 12974.44221875
transcript.pyannote[2283].speaker SPEAKER_48
transcript.pyannote[2283].start 12974.93159375
transcript.pyannote[2283].end 12976.39971875
transcript.pyannote[2284].speaker SPEAKER_06
transcript.pyannote[2284].start 12977.09159375
transcript.pyannote[2284].end 12987.70596875
transcript.pyannote[2285].speaker SPEAKER_06
transcript.pyannote[2285].start 12988.80284375
transcript.pyannote[2285].end 12989.17409375
transcript.pyannote[2286].speaker SPEAKER_48
transcript.pyannote[2286].start 12989.17409375
transcript.pyannote[2286].end 12989.47784375
transcript.pyannote[2287].speaker SPEAKER_06
transcript.pyannote[2287].start 12989.47784375
transcript.pyannote[2287].end 12989.76471875
transcript.pyannote[2288].speaker SPEAKER_48
transcript.pyannote[2288].start 12989.76471875
transcript.pyannote[2288].end 12995.45159375
transcript.pyannote[2289].speaker SPEAKER_48
transcript.pyannote[2289].start 12995.82284375
transcript.pyannote[2289].end 13002.64034375
transcript.pyannote[2290].speaker SPEAKER_06
transcript.pyannote[2290].start 13003.53471875
transcript.pyannote[2290].end 13017.89534375
transcript.pyannote[2291].speaker SPEAKER_48
transcript.pyannote[2291].start 13008.51284375
transcript.pyannote[2291].end 13008.86721875
transcript.pyannote[2292].speaker SPEAKER_48
transcript.pyannote[2292].start 13009.30596875
transcript.pyannote[2292].end 13010.68971875
transcript.pyannote[2293].speaker SPEAKER_48
transcript.pyannote[2293].start 13010.90909375
transcript.pyannote[2293].end 13011.55034375
transcript.pyannote[2294].speaker SPEAKER_48
transcript.pyannote[2294].start 13016.62971875
transcript.pyannote[2294].end 13016.96721875
transcript.pyannote[2295].speaker SPEAKER_48
transcript.pyannote[2295].start 13017.89534375
transcript.pyannote[2295].end 13026.55221875
transcript.pyannote[2296].speaker SPEAKER_29
transcript.pyannote[2296].start 13026.73784375
transcript.pyannote[2296].end 13027.31159375
transcript.pyannote[2297].speaker SPEAKER_48
transcript.pyannote[2297].start 13027.81784375
transcript.pyannote[2297].end 13029.42096875
transcript.pyannote[2298].speaker SPEAKER_29
transcript.pyannote[2298].start 13030.29846875
transcript.pyannote[2298].end 13031.53034375
transcript.pyannote[2299].speaker SPEAKER_48
transcript.pyannote[2299].start 13030.73721875
transcript.pyannote[2299].end 13035.96846875
transcript.pyannote[2300].speaker SPEAKER_29
transcript.pyannote[2300].start 13036.96409375
transcript.pyannote[2300].end 13048.77659375
transcript.pyannote[2301].speaker SPEAKER_48
transcript.pyannote[2301].start 13049.14784375
transcript.pyannote[2301].end 13051.56096875
transcript.pyannote[2302].speaker SPEAKER_29
transcript.pyannote[2302].start 13051.81409375
transcript.pyannote[2302].end 13063.66034375
transcript.pyannote[2303].speaker SPEAKER_48
transcript.pyannote[2303].start 13055.23971875
transcript.pyannote[2303].end 13055.57721875
transcript.pyannote[2304].speaker SPEAKER_48
transcript.pyannote[2304].start 13063.93034375
transcript.pyannote[2304].end 13072.53659375
transcript.pyannote[2305].speaker SPEAKER_29
transcript.pyannote[2305].start 13072.04721875
transcript.pyannote[2305].end 13094.82846875
transcript.pyannote[2306].speaker SPEAKER_48
transcript.pyannote[2306].start 13076.01284375
transcript.pyannote[2306].end 13076.38409375
transcript.pyannote[2307].speaker SPEAKER_12
transcript.pyannote[2307].start 13087.62284375
transcript.pyannote[2307].end 13087.94346875
transcript.pyannote[2308].speaker SPEAKER_48
transcript.pyannote[2308].start 13090.40721875
transcript.pyannote[2308].end 13090.82909375
transcript.pyannote[2309].speaker SPEAKER_48
transcript.pyannote[2309].start 13094.98034375
transcript.pyannote[2309].end 13104.64971875
transcript.pyannote[2310].speaker SPEAKER_29
transcript.pyannote[2310].start 13105.49346875
transcript.pyannote[2310].end 13113.71159375
transcript.pyannote[2311].speaker SPEAKER_48
transcript.pyannote[2311].start 13107.34971875
transcript.pyannote[2311].end 13107.53534375
transcript.pyannote[2312].speaker SPEAKER_48
transcript.pyannote[2312].start 13110.55596875
transcript.pyannote[2312].end 13110.64034375
transcript.pyannote[2313].speaker SPEAKER_48
transcript.pyannote[2313].start 13110.69096875
transcript.pyannote[2313].end 13110.70784375
transcript.pyannote[2314].speaker SPEAKER_48
transcript.pyannote[2314].start 13113.71159375
transcript.pyannote[2314].end 13114.77471875
transcript.pyannote[2315].speaker SPEAKER_29
transcript.pyannote[2315].start 13114.77471875
transcript.pyannote[2315].end 13115.55096875
transcript.pyannote[2316].speaker SPEAKER_13
transcript.pyannote[2316].start 13121.06909375
transcript.pyannote[2316].end 13123.85346875
transcript.pyannote[2317].speaker SPEAKER_30
transcript.pyannote[2317].start 13138.60221875
transcript.pyannote[2317].end 13151.05596875
transcript.pyannote[2318].speaker SPEAKER_13
transcript.pyannote[2318].start 13147.90034375
transcript.pyannote[2318].end 13148.03534375
transcript.pyannote[2319].speaker SPEAKER_37
transcript.pyannote[2319].start 13148.03534375
transcript.pyannote[2319].end 13150.29659375
transcript.pyannote[2320].speaker SPEAKER_30
transcript.pyannote[2320].start 13151.30909375
transcript.pyannote[2320].end 13151.66346875
transcript.pyannote[2321].speaker SPEAKER_30
transcript.pyannote[2321].start 13155.94971875
transcript.pyannote[2321].end 13162.95284375
transcript.pyannote[2322].speaker SPEAKER_30
transcript.pyannote[2322].start 13163.30721875
transcript.pyannote[2322].end 13165.14659375
transcript.pyannote[2323].speaker SPEAKER_30
transcript.pyannote[2323].start 13165.39971875
transcript.pyannote[2323].end 13167.86346875
transcript.pyannote[2324].speaker SPEAKER_30
transcript.pyannote[2324].start 13168.36971875
transcript.pyannote[2324].end 13170.34409375
transcript.pyannote[2325].speaker SPEAKER_30
transcript.pyannote[2325].start 13171.10346875
transcript.pyannote[2325].end 13174.39409375
transcript.pyannote[2326].speaker SPEAKER_30
transcript.pyannote[2326].start 13174.56284375
transcript.pyannote[2326].end 13175.44034375
transcript.pyannote[2327].speaker SPEAKER_29
transcript.pyannote[2327].start 13175.87909375
transcript.pyannote[2327].end 13185.66659375
transcript.pyannote[2328].speaker SPEAKER_30
transcript.pyannote[2328].start 13180.60409375
transcript.pyannote[2328].end 13181.11034375
transcript.pyannote[2329].speaker SPEAKER_30
transcript.pyannote[2329].start 13184.73846875
transcript.pyannote[2329].end 13185.27846875
transcript.pyannote[2330].speaker SPEAKER_30
transcript.pyannote[2330].start 13185.90284375
transcript.pyannote[2330].end 13188.06284375
transcript.pyannote[2331].speaker SPEAKER_30
transcript.pyannote[2331].start 13188.45096875
transcript.pyannote[2331].end 13194.10409375
transcript.pyannote[2332].speaker SPEAKER_30
transcript.pyannote[2332].start 13194.23909375
transcript.pyannote[2332].end 13195.57221875
transcript.pyannote[2333].speaker SPEAKER_30
transcript.pyannote[2333].start 13195.75784375
transcript.pyannote[2333].end 13200.70221875
transcript.pyannote[2334].speaker SPEAKER_30
transcript.pyannote[2334].start 13201.03971875
transcript.pyannote[2334].end 13204.78596875
transcript.pyannote[2335].speaker SPEAKER_30
transcript.pyannote[2335].start 13205.42721875
transcript.pyannote[2335].end 13208.27909375
transcript.pyannote[2336].speaker SPEAKER_30
transcript.pyannote[2336].start 13208.63346875
transcript.pyannote[2336].end 13211.62034375
transcript.pyannote[2337].speaker SPEAKER_30
transcript.pyannote[2337].start 13212.02534375
transcript.pyannote[2337].end 13215.07971875
transcript.pyannote[2338].speaker SPEAKER_30
transcript.pyannote[2338].start 13215.48471875
transcript.pyannote[2338].end 13220.34471875
transcript.pyannote[2339].speaker SPEAKER_30
transcript.pyannote[2339].start 13220.69909375
transcript.pyannote[2339].end 13230.04784375
transcript.pyannote[2340].speaker SPEAKER_50
transcript.pyannote[2340].start 13230.41909375
transcript.pyannote[2340].end 13249.94346875
transcript.pyannote[2341].speaker SPEAKER_30
transcript.pyannote[2341].start 13249.42034375
transcript.pyannote[2341].end 13253.53784375
transcript.pyannote[2342].speaker SPEAKER_50
transcript.pyannote[2342].start 13253.80784375
transcript.pyannote[2342].end 13253.87534375
transcript.pyannote[2343].speaker SPEAKER_29
transcript.pyannote[2343].start 13253.87534375
transcript.pyannote[2343].end 13254.02721875
transcript.pyannote[2344].speaker SPEAKER_30
transcript.pyannote[2344].start 13254.02721875
transcript.pyannote[2344].end 13255.37721875
transcript.pyannote[2345].speaker SPEAKER_29
transcript.pyannote[2345].start 13254.04409375
transcript.pyannote[2345].end 13254.82034375
transcript.pyannote[2346].speaker SPEAKER_50
transcript.pyannote[2346].start 13254.82034375
transcript.pyannote[2346].end 13254.83721875
transcript.pyannote[2347].speaker SPEAKER_29
transcript.pyannote[2347].start 13254.83721875
transcript.pyannote[2347].end 13254.92159375
transcript.pyannote[2348].speaker SPEAKER_29
transcript.pyannote[2348].start 13255.02284375
transcript.pyannote[2348].end 13262.59971875
transcript.pyannote[2349].speaker SPEAKER_30
transcript.pyannote[2349].start 13261.85721875
transcript.pyannote[2349].end 13277.21346875
transcript.pyannote[2350].speaker SPEAKER_29
transcript.pyannote[2350].start 13263.05534375
transcript.pyannote[2350].end 13264.20284375
transcript.pyannote[2351].speaker SPEAKER_29
transcript.pyannote[2351].start 13264.97909375
transcript.pyannote[2351].end 13265.62034375
transcript.pyannote[2352].speaker SPEAKER_29
transcript.pyannote[2352].start 13277.92221875
transcript.pyannote[2352].end 13279.55909375
transcript.pyannote[2353].speaker SPEAKER_30
transcript.pyannote[2353].start 13279.55909375
transcript.pyannote[2353].end 13282.51221875
transcript.pyannote[2354].speaker SPEAKER_29
transcript.pyannote[2354].start 13279.57596875
transcript.pyannote[2354].end 13279.77846875
transcript.pyannote[2355].speaker SPEAKER_30
transcript.pyannote[2355].start 13283.00159375
transcript.pyannote[2355].end 13285.85346875
transcript.pyannote[2356].speaker SPEAKER_19
transcript.pyannote[2356].start 13285.85346875
transcript.pyannote[2356].end 13299.03284375
transcript.pyannote[2357].speaker SPEAKER_30
transcript.pyannote[2357].start 13291.18596875
transcript.pyannote[2357].end 13291.84409375
transcript.pyannote[2358].speaker SPEAKER_30
transcript.pyannote[2358].start 13299.03284375
transcript.pyannote[2358].end 13300.34909375
transcript.pyannote[2359].speaker SPEAKER_30
transcript.pyannote[2359].start 13300.68659375
transcript.pyannote[2359].end 13306.67721875
transcript.pyannote[2360].speaker SPEAKER_30
transcript.pyannote[2360].start 13307.21721875
transcript.pyannote[2360].end 13312.24596875
transcript.pyannote[2361].speaker SPEAKER_30
transcript.pyannote[2361].start 13312.43159375
transcript.pyannote[2361].end 13314.45659375
transcript.pyannote[2362].speaker SPEAKER_25
transcript.pyannote[2362].start 13314.42284375
transcript.pyannote[2362].end 13314.74346875
transcript.pyannote[2363].speaker SPEAKER_30
transcript.pyannote[2363].start 13314.60846875
transcript.pyannote[2363].end 13321.40909375
transcript.pyannote[2364].speaker SPEAKER_30
transcript.pyannote[2364].start 13321.61159375
transcript.pyannote[2364].end 13332.36096875
transcript.pyannote[2365].speaker SPEAKER_30
transcript.pyannote[2365].start 13332.91784375
transcript.pyannote[2365].end 13333.52534375
transcript.pyannote[2366].speaker SPEAKER_30
transcript.pyannote[2366].start 13333.74471875
transcript.pyannote[2366].end 13335.87096875
transcript.pyannote[2367].speaker SPEAKER_30
transcript.pyannote[2367].start 13336.09034375
transcript.pyannote[2367].end 13337.49096875
transcript.pyannote[2368].speaker SPEAKER_30
transcript.pyannote[2368].start 13338.99284375
transcript.pyannote[2368].end 13339.71846875
transcript.pyannote[2369].speaker SPEAKER_19
transcript.pyannote[2369].start 13340.12346875
transcript.pyannote[2369].end 13346.14784375
transcript.pyannote[2370].speaker SPEAKER_30
transcript.pyannote[2370].start 13345.79346875
transcript.pyannote[2370].end 13347.19409375
transcript.pyannote[2371].speaker SPEAKER_19
transcript.pyannote[2371].start 13347.19409375
transcript.pyannote[2371].end 13348.34159375
transcript.pyannote[2372].speaker SPEAKER_30
transcript.pyannote[2372].start 13347.63284375
transcript.pyannote[2372].end 13350.18096875
transcript.pyannote[2373].speaker SPEAKER_19
transcript.pyannote[2373].start 13349.08409375
transcript.pyannote[2373].end 13350.87284375
transcript.pyannote[2374].speaker SPEAKER_30
transcript.pyannote[2374].start 13350.87284375
transcript.pyannote[2374].end 13350.88971875
transcript.pyannote[2375].speaker SPEAKER_30
transcript.pyannote[2375].start 13350.92346875
transcript.pyannote[2375].end 13353.03284375
transcript.pyannote[2376].speaker SPEAKER_30
transcript.pyannote[2376].start 13353.28596875
transcript.pyannote[2376].end 13358.88846875
transcript.pyannote[2377].speaker SPEAKER_30
transcript.pyannote[2377].start 13359.20909375
transcript.pyannote[2377].end 13364.28846875
transcript.pyannote[2378].speaker SPEAKER_29
transcript.pyannote[2378].start 13363.95096875
transcript.pyannote[2378].end 13369.65471875
transcript.pyannote[2379].speaker SPEAKER_30
transcript.pyannote[2379].start 13367.05596875
transcript.pyannote[2379].end 13370.26221875
transcript.pyannote[2380].speaker SPEAKER_29
transcript.pyannote[2380].start 13370.26221875
transcript.pyannote[2380].end 13373.33346875
transcript.pyannote[2381].speaker SPEAKER_30
transcript.pyannote[2381].start 13371.12284375
transcript.pyannote[2381].end 13371.81471875
transcript.pyannote[2382].speaker SPEAKER_30
transcript.pyannote[2382].start 13373.33346875
transcript.pyannote[2382].end 13375.00409375
transcript.pyannote[2383].speaker SPEAKER_29
transcript.pyannote[2383].start 13375.07159375
transcript.pyannote[2383].end 13381.82159375
transcript.pyannote[2384].speaker SPEAKER_29
transcript.pyannote[2384].start 13381.88909375
transcript.pyannote[2384].end 13381.97346875
transcript.pyannote[2385].speaker SPEAKER_30
transcript.pyannote[2385].start 13381.90596875
transcript.pyannote[2385].end 13393.02659375
transcript.pyannote[2386].speaker SPEAKER_29
transcript.pyannote[2386].start 13382.36159375
transcript.pyannote[2386].end 13382.83409375
transcript.pyannote[2387].speaker SPEAKER_30
transcript.pyannote[2387].start 13393.38096875
transcript.pyannote[2387].end 13394.46096875
transcript.pyannote[2388].speaker SPEAKER_29
transcript.pyannote[2388].start 13393.49909375
transcript.pyannote[2388].end 13395.82784375
transcript.pyannote[2389].speaker SPEAKER_30
transcript.pyannote[2389].start 13395.54096875
transcript.pyannote[2389].end 13415.11596875
transcript.pyannote[2390].speaker SPEAKER_29
transcript.pyannote[2390].start 13415.84159375
transcript.pyannote[2390].end 13416.31409375
transcript.pyannote[2391].speaker SPEAKER_30
transcript.pyannote[2391].start 13416.31409375
transcript.pyannote[2391].end 13429.86471875
transcript.pyannote[2392].speaker SPEAKER_29
transcript.pyannote[2392].start 13430.37096875
transcript.pyannote[2392].end 13432.32846875
transcript.pyannote[2393].speaker SPEAKER_30
transcript.pyannote[2393].start 13432.32846875
transcript.pyannote[2393].end 13435.72034375
transcript.pyannote[2394].speaker SPEAKER_30
transcript.pyannote[2394].start 13436.02409375
transcript.pyannote[2394].end 13436.93534375
transcript.pyannote[2395].speaker SPEAKER_30
transcript.pyannote[2395].start 13437.98159375
transcript.pyannote[2395].end 13438.60596875
transcript.pyannote[2396].speaker SPEAKER_30
transcript.pyannote[2396].start 13439.39909375
transcript.pyannote[2396].end 13440.47909375
transcript.pyannote[2397].speaker SPEAKER_30
transcript.pyannote[2397].start 13440.66471875
transcript.pyannote[2397].end 13441.05284375
transcript.pyannote[2398].speaker SPEAKER_30
transcript.pyannote[2398].start 13441.64346875
transcript.pyannote[2398].end 13446.43596875
transcript.pyannote[2399].speaker SPEAKER_30
transcript.pyannote[2399].start 13446.90846875
transcript.pyannote[2399].end 13449.52409375
transcript.pyannote[2400].speaker SPEAKER_30
transcript.pyannote[2400].start 13450.19909375
transcript.pyannote[2400].end 13452.47721875
transcript.pyannote[2401].speaker SPEAKER_30
transcript.pyannote[2401].start 13452.78096875
transcript.pyannote[2401].end 13453.52346875
transcript.pyannote[2402].speaker SPEAKER_30
transcript.pyannote[2402].start 13453.55721875
transcript.pyannote[2402].end 13455.27846875
transcript.pyannote[2403].speaker SPEAKER_30
transcript.pyannote[2403].start 13455.44721875
transcript.pyannote[2403].end 13456.83096875
transcript.pyannote[2404].speaker SPEAKER_30
transcript.pyannote[2404].start 13457.37096875
transcript.pyannote[2404].end 13457.67471875
transcript.pyannote[2405].speaker SPEAKER_30
transcript.pyannote[2405].start 13458.11346875
transcript.pyannote[2405].end 13462.46721875
transcript.pyannote[2406].speaker SPEAKER_30
transcript.pyannote[2406].start 13463.37846875
transcript.pyannote[2406].end 13464.03659375
transcript.pyannote[2407].speaker SPEAKER_30
transcript.pyannote[2407].start 13464.32346875
transcript.pyannote[2407].end 13464.96471875
transcript.pyannote[2408].speaker SPEAKER_30
transcript.pyannote[2408].start 13465.52159375
transcript.pyannote[2408].end 13469.80784375
transcript.pyannote[2409].speaker SPEAKER_12
transcript.pyannote[2409].start 13469.80784375
transcript.pyannote[2409].end 13470.33096875
transcript.pyannote[2410].speaker SPEAKER_30
transcript.pyannote[2410].start 13470.26346875
transcript.pyannote[2410].end 13472.81159375
transcript.pyannote[2411].speaker SPEAKER_25
transcript.pyannote[2411].start 13470.33096875
transcript.pyannote[2411].end 13470.39846875
transcript.pyannote[2412].speaker SPEAKER_30
transcript.pyannote[2412].start 13472.84534375
transcript.pyannote[2412].end 13472.92971875
transcript.pyannote[2413].speaker SPEAKER_30
transcript.pyannote[2413].start 13473.03096875
transcript.pyannote[2413].end 13492.21784375
transcript.pyannote[2414].speaker SPEAKER_29
transcript.pyannote[2414].start 13492.53846875
transcript.pyannote[2414].end 13495.01909375
transcript.pyannote[2415].speaker SPEAKER_30
transcript.pyannote[2415].start 13495.00221875
transcript.pyannote[2415].end 13496.11596875
transcript.pyannote[2416].speaker SPEAKER_29
transcript.pyannote[2416].start 13495.37346875
transcript.pyannote[2416].end 13497.06096875
transcript.pyannote[2417].speaker SPEAKER_30
transcript.pyannote[2417].start 13497.06096875
transcript.pyannote[2417].end 13500.50346875
transcript.pyannote[2418].speaker SPEAKER_29
transcript.pyannote[2418].start 13498.49534375
transcript.pyannote[2418].end 13503.28784375
transcript.pyannote[2419].speaker SPEAKER_30
transcript.pyannote[2419].start 13503.28784375
transcript.pyannote[2419].end 13536.43034375
transcript.pyannote[2420].speaker SPEAKER_24
transcript.pyannote[2420].start 13536.61596875
transcript.pyannote[2420].end 13536.97034375
transcript.pyannote[2421].speaker SPEAKER_30
transcript.pyannote[2421].start 13536.88596875
transcript.pyannote[2421].end 13563.66659375
transcript.pyannote[2422].speaker SPEAKER_29
transcript.pyannote[2422].start 13564.02096875
transcript.pyannote[2422].end 13564.91534375
transcript.pyannote[2423].speaker SPEAKER_30
transcript.pyannote[2423].start 13564.78034375
transcript.pyannote[2423].end 13565.96159375
transcript.pyannote[2424].speaker SPEAKER_13
transcript.pyannote[2424].start 13574.36534375
transcript.pyannote[2424].end 13576.66034375
transcript.pyannote[2425].speaker SPEAKER_39
transcript.pyannote[2425].start 13592.62409375
transcript.pyannote[2425].end 13595.13846875
transcript.pyannote[2426].speaker SPEAKER_39
transcript.pyannote[2426].start 13597.04534375
transcript.pyannote[2426].end 13597.06221875
transcript.pyannote[2427].speaker SPEAKER_13
transcript.pyannote[2427].start 13597.06221875
transcript.pyannote[2427].end 13598.56409375
transcript.pyannote[2428].speaker SPEAKER_13
transcript.pyannote[2428].start 13599.45846875
transcript.pyannote[2428].end 13600.47096875
transcript.pyannote[2429].speaker SPEAKER_39
transcript.pyannote[2429].start 13600.47096875
transcript.pyannote[2429].end 13602.25971875
transcript.pyannote[2430].speaker SPEAKER_13
transcript.pyannote[2430].start 13600.70721875
transcript.pyannote[2430].end 13602.36096875
transcript.pyannote[2431].speaker SPEAKER_39
transcript.pyannote[2431].start 13602.36096875
transcript.pyannote[2431].end 13602.73221875
transcript.pyannote[2432].speaker SPEAKER_39
transcript.pyannote[2432].start 13607.47409375
transcript.pyannote[2432].end 13610.56221875
transcript.pyannote[2433].speaker SPEAKER_39
transcript.pyannote[2433].start 13611.49034375
transcript.pyannote[2433].end 13614.24096875
transcript.pyannote[2434].speaker SPEAKER_39
transcript.pyannote[2434].start 13614.79784375
transcript.pyannote[2434].end 13616.77221875
transcript.pyannote[2435].speaker SPEAKER_39
transcript.pyannote[2435].start 13617.21096875
transcript.pyannote[2435].end 13618.71284375
transcript.pyannote[2436].speaker SPEAKER_39
transcript.pyannote[2436].start 13619.69159375
transcript.pyannote[2436].end 13621.98659375
transcript.pyannote[2437].speaker SPEAKER_39
transcript.pyannote[2437].start 13622.23971875
transcript.pyannote[2437].end 13624.21409375
transcript.pyannote[2438].speaker SPEAKER_39
transcript.pyannote[2438].start 13624.61909375
transcript.pyannote[2438].end 13625.61471875
transcript.pyannote[2439].speaker SPEAKER_39
transcript.pyannote[2439].start 13625.98596875
transcript.pyannote[2439].end 13629.25971875
transcript.pyannote[2440].speaker SPEAKER_39
transcript.pyannote[2440].start 13629.69846875
transcript.pyannote[2440].end 13635.80721875
transcript.pyannote[2441].speaker SPEAKER_39
transcript.pyannote[2441].start 13636.27971875
transcript.pyannote[2441].end 13639.62096875
transcript.pyannote[2442].speaker SPEAKER_39
transcript.pyannote[2442].start 13639.99221875
transcript.pyannote[2442].end 13641.66284375
transcript.pyannote[2443].speaker SPEAKER_39
transcript.pyannote[2443].start 13642.27034375
transcript.pyannote[2443].end 13642.75971875
transcript.pyannote[2444].speaker SPEAKER_39
transcript.pyannote[2444].start 13643.09721875
transcript.pyannote[2444].end 13646.82659375
transcript.pyannote[2445].speaker SPEAKER_29
transcript.pyannote[2445].start 13646.01659375
transcript.pyannote[2445].end 13654.65659375
transcript.pyannote[2446].speaker SPEAKER_39
transcript.pyannote[2446].start 13653.72846875
transcript.pyannote[2446].end 13654.18409375
transcript.pyannote[2447].speaker SPEAKER_39
transcript.pyannote[2447].start 13655.38221875
transcript.pyannote[2447].end 13657.23846875
transcript.pyannote[2448].speaker SPEAKER_39
transcript.pyannote[2448].start 13657.69409375
transcript.pyannote[2448].end 13660.25909375
transcript.pyannote[2449].speaker SPEAKER_39
transcript.pyannote[2449].start 13660.79909375
transcript.pyannote[2449].end 13663.49909375
transcript.pyannote[2450].speaker SPEAKER_29
transcript.pyannote[2450].start 13662.31784375
transcript.pyannote[2450].end 13664.41034375
transcript.pyannote[2451].speaker SPEAKER_39
transcript.pyannote[2451].start 13664.19096875
transcript.pyannote[2451].end 13665.55784375
transcript.pyannote[2452].speaker SPEAKER_39
transcript.pyannote[2452].start 13666.13159375
transcript.pyannote[2452].end 13667.19471875
transcript.pyannote[2453].speaker SPEAKER_39
transcript.pyannote[2453].start 13667.32971875
transcript.pyannote[2453].end 13667.41409375
transcript.pyannote[2454].speaker SPEAKER_29
transcript.pyannote[2454].start 13667.41409375
transcript.pyannote[2454].end 13667.58284375
transcript.pyannote[2455].speaker SPEAKER_39
transcript.pyannote[2455].start 13667.58284375
transcript.pyannote[2455].end 13669.25346875
transcript.pyannote[2456].speaker SPEAKER_39
transcript.pyannote[2456].start 13669.75971875
transcript.pyannote[2456].end 13671.37971875
transcript.pyannote[2457].speaker SPEAKER_25
transcript.pyannote[2457].start 13670.99159375
transcript.pyannote[2457].end 13671.02534375
transcript.pyannote[2458].speaker SPEAKER_07
transcript.pyannote[2458].start 13671.02534375
transcript.pyannote[2458].end 13671.26159375
transcript.pyannote[2459].speaker SPEAKER_25
transcript.pyannote[2459].start 13671.26159375
transcript.pyannote[2459].end 13671.29534375
transcript.pyannote[2460].speaker SPEAKER_39
transcript.pyannote[2460].start 13671.83534375
transcript.pyannote[2460].end 13673.11784375
transcript.pyannote[2461].speaker SPEAKER_39
transcript.pyannote[2461].start 13673.87721875
transcript.pyannote[2461].end 13685.09909375
transcript.pyannote[2462].speaker SPEAKER_00
transcript.pyannote[2462].start 13683.32721875
transcript.pyannote[2462].end 13683.59721875
transcript.pyannote[2463].speaker SPEAKER_39
transcript.pyannote[2463].start 13685.70659375
transcript.pyannote[2463].end 13687.78221875
transcript.pyannote[2464].speaker SPEAKER_39
transcript.pyannote[2464].start 13688.45721875
transcript.pyannote[2464].end 13689.26721875
transcript.pyannote[2465].speaker SPEAKER_39
transcript.pyannote[2465].start 13690.11096875
transcript.pyannote[2465].end 13690.83659375
transcript.pyannote[2466].speaker SPEAKER_39
transcript.pyannote[2466].start 13690.95471875
transcript.pyannote[2466].end 13691.84909375
transcript.pyannote[2467].speaker SPEAKER_39
transcript.pyannote[2467].start 13692.11909375
transcript.pyannote[2467].end 13693.97534375
transcript.pyannote[2468].speaker SPEAKER_39
transcript.pyannote[2468].start 13694.34659375
transcript.pyannote[2468].end 13700.60721875
transcript.pyannote[2469].speaker SPEAKER_39
transcript.pyannote[2469].start 13700.92784375
transcript.pyannote[2469].end 13701.46784375
transcript.pyannote[2470].speaker SPEAKER_39
transcript.pyannote[2470].start 13702.26096875
transcript.pyannote[2470].end 13703.20596875
transcript.pyannote[2471].speaker SPEAKER_39
transcript.pyannote[2471].start 13704.13409375
transcript.pyannote[2471].end 13705.04534375
transcript.pyannote[2472].speaker SPEAKER_39
transcript.pyannote[2472].start 13705.55159375
transcript.pyannote[2472].end 13707.18846875
transcript.pyannote[2473].speaker SPEAKER_39
transcript.pyannote[2473].start 13708.50471875
transcript.pyannote[2473].end 13710.78284375
transcript.pyannote[2474].speaker SPEAKER_39
transcript.pyannote[2474].start 13711.17096875
transcript.pyannote[2474].end 13713.63471875
transcript.pyannote[2475].speaker SPEAKER_26
transcript.pyannote[2475].start 13713.63471875
transcript.pyannote[2475].end 13713.78659375
transcript.pyannote[2476].speaker SPEAKER_39
transcript.pyannote[2476].start 13713.78659375
transcript.pyannote[2476].end 13716.43596875
transcript.pyannote[2477].speaker SPEAKER_39
transcript.pyannote[2477].start 13716.70596875
transcript.pyannote[2477].end 13718.12346875
transcript.pyannote[2478].speaker SPEAKER_39
transcript.pyannote[2478].start 13718.66346875
transcript.pyannote[2478].end 13720.58721875
transcript.pyannote[2479].speaker SPEAKER_39
transcript.pyannote[2479].start 13720.63784375
transcript.pyannote[2479].end 13722.96659375
transcript.pyannote[2480].speaker SPEAKER_39
transcript.pyannote[2480].start 13723.21971875
transcript.pyannote[2480].end 13729.63221875
transcript.pyannote[2481].speaker SPEAKER_24
transcript.pyannote[2481].start 13725.09284375
transcript.pyannote[2481].end 13725.10971875
transcript.pyannote[2482].speaker SPEAKER_39
transcript.pyannote[2482].start 13729.96971875
transcript.pyannote[2482].end 13731.64034375
transcript.pyannote[2483].speaker SPEAKER_39
transcript.pyannote[2483].start 13731.75846875
transcript.pyannote[2483].end 13732.80471875
transcript.pyannote[2484].speaker SPEAKER_39
transcript.pyannote[2484].start 13733.31096875
transcript.pyannote[2484].end 13737.63096875
transcript.pyannote[2485].speaker SPEAKER_25
transcript.pyannote[2485].start 13737.63096875
transcript.pyannote[2485].end 13737.96846875
transcript.pyannote[2486].speaker SPEAKER_39
transcript.pyannote[2486].start 13737.96846875
transcript.pyannote[2486].end 13739.18346875
transcript.pyannote[2487].speaker SPEAKER_25
transcript.pyannote[2487].start 13738.00221875
transcript.pyannote[2487].end 13738.05284375
transcript.pyannote[2488].speaker SPEAKER_39
transcript.pyannote[2488].start 13740.85409375
transcript.pyannote[2488].end 13742.82846875
transcript.pyannote[2489].speaker SPEAKER_39
transcript.pyannote[2489].start 13743.14909375
transcript.pyannote[2489].end 13747.19909375
transcript.pyannote[2490].speaker SPEAKER_39
transcript.pyannote[2490].start 13749.37596875
transcript.pyannote[2490].end 13755.60284375
transcript.pyannote[2491].speaker SPEAKER_39
transcript.pyannote[2491].start 13756.27784375
transcript.pyannote[2491].end 13761.17159375
transcript.pyannote[2492].speaker SPEAKER_39
transcript.pyannote[2492].start 13761.72846875
transcript.pyannote[2492].end 13762.53846875
transcript.pyannote[2493].speaker SPEAKER_39
transcript.pyannote[2493].start 13763.06159375
transcript.pyannote[2493].end 13767.22971875
transcript.pyannote[2494].speaker SPEAKER_39
transcript.pyannote[2494].start 13768.81596875
transcript.pyannote[2494].end 13771.60034375
transcript.pyannote[2495].speaker SPEAKER_39
transcript.pyannote[2495].start 13772.35971875
transcript.pyannote[2495].end 13776.32534375
transcript.pyannote[2496].speaker SPEAKER_29
transcript.pyannote[2496].start 13780.15596875
transcript.pyannote[2496].end 13788.10409375
transcript.pyannote[2497].speaker SPEAKER_18
transcript.pyannote[2497].start 13788.10409375
transcript.pyannote[2497].end 13789.23471875
transcript.pyannote[2498].speaker SPEAKER_29
transcript.pyannote[2498].start 13789.23471875
transcript.pyannote[2498].end 13791.76596875
transcript.pyannote[2499].speaker SPEAKER_18
transcript.pyannote[2499].start 13789.25159375
transcript.pyannote[2499].end 13789.30221875
transcript.pyannote[2500].speaker SPEAKER_18
transcript.pyannote[2500].start 13791.76596875
transcript.pyannote[2500].end 13791.90096875
transcript.pyannote[2501].speaker SPEAKER_18
transcript.pyannote[2501].start 13791.93471875
transcript.pyannote[2501].end 13792.03596875
transcript.pyannote[2502].speaker SPEAKER_29
transcript.pyannote[2502].start 13793.74034375
transcript.pyannote[2502].end 13794.12846875
transcript.pyannote[2503].speaker SPEAKER_29
transcript.pyannote[2503].start 13794.66846875
transcript.pyannote[2503].end 13796.27159375
transcript.pyannote[2504].speaker SPEAKER_39
transcript.pyannote[2504].start 13796.27159375
transcript.pyannote[2504].end 13797.79034375
transcript.pyannote[2505].speaker SPEAKER_29
transcript.pyannote[2505].start 13796.65971875
transcript.pyannote[2505].end 13797.53721875
transcript.pyannote[2506].speaker SPEAKER_29
transcript.pyannote[2506].start 13797.79034375
transcript.pyannote[2506].end 13797.87471875
transcript.pyannote[2507].speaker SPEAKER_39
transcript.pyannote[2507].start 13798.51596875
transcript.pyannote[2507].end 13800.67596875
transcript.pyannote[2508].speaker SPEAKER_29
transcript.pyannote[2508].start 13801.28346875
transcript.pyannote[2508].end 13801.31721875
transcript.pyannote[2509].speaker SPEAKER_26
transcript.pyannote[2509].start 13801.31721875
transcript.pyannote[2509].end 13802.05971875
transcript.pyannote[2510].speaker SPEAKER_39
transcript.pyannote[2510].start 13801.55346875
transcript.pyannote[2510].end 13802.09346875
transcript.pyannote[2511].speaker SPEAKER_26
transcript.pyannote[2511].start 13802.09346875
transcript.pyannote[2511].end 13802.21159375
transcript.pyannote[2512].speaker SPEAKER_39
transcript.pyannote[2512].start 13802.21159375
transcript.pyannote[2512].end 13803.81471875
transcript.pyannote[2513].speaker SPEAKER_39
transcript.pyannote[2513].start 13804.37159375
transcript.pyannote[2513].end 13809.38346875
transcript.pyannote[2514].speaker SPEAKER_26
transcript.pyannote[2514].start 13804.57409375
transcript.pyannote[2514].end 13805.09721875
transcript.pyannote[2515].speaker SPEAKER_39
transcript.pyannote[2515].start 13809.73784375
transcript.pyannote[2515].end 13814.44596875
transcript.pyannote[2516].speaker SPEAKER_39
transcript.pyannote[2516].start 13814.88471875
transcript.pyannote[2516].end 13844.65221875
transcript.pyannote[2517].speaker SPEAKER_29
transcript.pyannote[2517].start 13815.25596875
transcript.pyannote[2517].end 13815.79596875
transcript.pyannote[2518].speaker SPEAKER_29
transcript.pyannote[2518].start 13816.35284375
transcript.pyannote[2518].end 13817.44971875
transcript.pyannote[2519].speaker SPEAKER_29
transcript.pyannote[2519].start 13819.39034375
transcript.pyannote[2519].end 13819.77846875
transcript.pyannote[2520].speaker SPEAKER_26
transcript.pyannote[2520].start 13821.56721875
transcript.pyannote[2520].end 13821.60096875
transcript.pyannote[2521].speaker SPEAKER_29
transcript.pyannote[2521].start 13821.60096875
transcript.pyannote[2521].end 13822.42784375
transcript.pyannote[2522].speaker SPEAKER_26
transcript.pyannote[2522].start 13844.65221875
transcript.pyannote[2522].end 13844.92221875
transcript.pyannote[2523].speaker SPEAKER_39
transcript.pyannote[2523].start 13844.92221875
transcript.pyannote[2523].end 13846.62659375
transcript.pyannote[2524].speaker SPEAKER_39
transcript.pyannote[2524].start 13847.26784375
transcript.pyannote[2524].end 13847.74034375
transcript.pyannote[2525].speaker SPEAKER_39
transcript.pyannote[2525].start 13847.92596875
transcript.pyannote[2525].end 13851.80721875
transcript.pyannote[2526].speaker SPEAKER_24
transcript.pyannote[2526].start 13850.17034375
transcript.pyannote[2526].end 13852.02659375
transcript.pyannote[2527].speaker SPEAKER_39
transcript.pyannote[2527].start 13852.44846875
transcript.pyannote[2527].end 13858.40534375
transcript.pyannote[2528].speaker SPEAKER_39
transcript.pyannote[2528].start 13859.18159375
transcript.pyannote[2528].end 13862.26971875
transcript.pyannote[2529].speaker SPEAKER_39
transcript.pyannote[2529].start 13862.87721875
transcript.pyannote[2529].end 13864.22721875
transcript.pyannote[2530].speaker SPEAKER_39
transcript.pyannote[2530].start 13865.15534375
transcript.pyannote[2530].end 13865.98221875
transcript.pyannote[2531].speaker SPEAKER_39
transcript.pyannote[2531].start 13866.47159375
transcript.pyannote[2531].end 13868.56409375
transcript.pyannote[2532].speaker SPEAKER_39
transcript.pyannote[2532].start 13869.35721875
transcript.pyannote[2532].end 13869.66096875
transcript.pyannote[2533].speaker SPEAKER_39
transcript.pyannote[2533].start 13870.28534375
transcript.pyannote[2533].end 13873.28909375
transcript.pyannote[2534].speaker SPEAKER_39
transcript.pyannote[2534].start 13873.74471875
transcript.pyannote[2534].end 13874.18346875
transcript.pyannote[2535].speaker SPEAKER_39
transcript.pyannote[2535].start 13874.58846875
transcript.pyannote[2535].end 13879.17846875
transcript.pyannote[2536].speaker SPEAKER_25
transcript.pyannote[2536].start 13879.17846875
transcript.pyannote[2536].end 13879.48221875
transcript.pyannote[2537].speaker SPEAKER_39
transcript.pyannote[2537].start 13879.48221875
transcript.pyannote[2537].end 13881.05159375
transcript.pyannote[2538].speaker SPEAKER_25
transcript.pyannote[2538].start 13881.05159375
transcript.pyannote[2538].end 13881.42284375
transcript.pyannote[2539].speaker SPEAKER_39
transcript.pyannote[2539].start 13882.30034375
transcript.pyannote[2539].end 13882.62096875
transcript.pyannote[2540].speaker SPEAKER_39
transcript.pyannote[2540].start 13882.90784375
transcript.pyannote[2540].end 13884.03846875
transcript.pyannote[2541].speaker SPEAKER_39
transcript.pyannote[2541].start 13884.74721875
transcript.pyannote[2541].end 13885.86096875
transcript.pyannote[2542].speaker SPEAKER_39
transcript.pyannote[2542].start 13886.43471875
transcript.pyannote[2542].end 13891.56471875
transcript.pyannote[2543].speaker SPEAKER_39
transcript.pyannote[2543].start 13892.02034375
transcript.pyannote[2543].end 13894.61909375
transcript.pyannote[2544].speaker SPEAKER_25
transcript.pyannote[2544].start 13893.94409375
transcript.pyannote[2544].end 13894.18034375
transcript.pyannote[2545].speaker SPEAKER_39
transcript.pyannote[2545].start 13895.22659375
transcript.pyannote[2545].end 13898.36534375
transcript.pyannote[2546].speaker SPEAKER_39
transcript.pyannote[2546].start 13898.63534375
transcript.pyannote[2546].end 13898.66909375
transcript.pyannote[2547].speaker SPEAKER_25
transcript.pyannote[2547].start 13898.66909375
transcript.pyannote[2547].end 13899.02346875
transcript.pyannote[2548].speaker SPEAKER_39
transcript.pyannote[2548].start 13899.02346875
transcript.pyannote[2548].end 13902.70221875
transcript.pyannote[2549].speaker SPEAKER_25
transcript.pyannote[2549].start 13900.60971875
transcript.pyannote[2549].end 13900.82909375
transcript.pyannote[2550].speaker SPEAKER_25
transcript.pyannote[2550].start 13901.80784375
transcript.pyannote[2550].end 13902.28034375
transcript.pyannote[2551].speaker SPEAKER_39
transcript.pyannote[2551].start 13902.87096875
transcript.pyannote[2551].end 13904.18721875
transcript.pyannote[2552].speaker SPEAKER_39
transcript.pyannote[2552].start 13904.82846875
transcript.pyannote[2552].end 13908.92909375
transcript.pyannote[2553].speaker SPEAKER_39
transcript.pyannote[2553].start 13909.11471875
transcript.pyannote[2553].end 13910.83596875
transcript.pyannote[2554].speaker SPEAKER_25
transcript.pyannote[2554].start 13910.83596875
transcript.pyannote[2554].end 13911.27471875
transcript.pyannote[2555].speaker SPEAKER_39
transcript.pyannote[2555].start 13911.27471875
transcript.pyannote[2555].end 13913.29971875
transcript.pyannote[2556].speaker SPEAKER_39
transcript.pyannote[2556].start 13913.85659375
transcript.pyannote[2556].end 13915.15596875
transcript.pyannote[2557].speaker SPEAKER_39
transcript.pyannote[2557].start 13915.61159375
transcript.pyannote[2557].end 13916.57346875
transcript.pyannote[2558].speaker SPEAKER_39
transcript.pyannote[2558].start 13916.80971875
transcript.pyannote[2558].end 13918.53096875
transcript.pyannote[2559].speaker SPEAKER_39
transcript.pyannote[2559].start 13918.98659375
transcript.pyannote[2559].end 13919.34096875
transcript.pyannote[2560].speaker SPEAKER_39
transcript.pyannote[2560].start 13919.72909375
transcript.pyannote[2560].end 13920.35346875
transcript.pyannote[2561].speaker SPEAKER_39
transcript.pyannote[2561].start 13921.63596875
transcript.pyannote[2561].end 13922.68221875
transcript.pyannote[2562].speaker SPEAKER_39
transcript.pyannote[2562].start 13924.40346875
transcript.pyannote[2562].end 13925.31471875
transcript.pyannote[2563].speaker SPEAKER_39
transcript.pyannote[2563].start 13925.97284375
transcript.pyannote[2563].end 13926.49596875
transcript.pyannote[2564].speaker SPEAKER_39
transcript.pyannote[2564].start 13926.91784375
transcript.pyannote[2564].end 13927.91346875
transcript.pyannote[2565].speaker SPEAKER_39
transcript.pyannote[2565].start 13928.87534375
transcript.pyannote[2565].end 13929.19596875
transcript.pyannote[2566].speaker SPEAKER_39
transcript.pyannote[2566].start 13930.17471875
transcript.pyannote[2566].end 13934.54534375
transcript.pyannote[2567].speaker SPEAKER_02
transcript.pyannote[2567].start 13931.79471875
transcript.pyannote[2567].end 13932.72284375
transcript.pyannote[2568].speaker SPEAKER_39
transcript.pyannote[2568].start 13935.30471875
transcript.pyannote[2568].end 13938.57846875
transcript.pyannote[2569].speaker SPEAKER_25
transcript.pyannote[2569].start 13938.61221875
transcript.pyannote[2569].end 13939.23659375
transcript.pyannote[2570].speaker SPEAKER_39
transcript.pyannote[2570].start 13939.23659375
transcript.pyannote[2570].end 13940.51909375
transcript.pyannote[2571].speaker SPEAKER_25
transcript.pyannote[2571].start 13939.25346875
transcript.pyannote[2571].end 13939.32096875
transcript.pyannote[2572].speaker SPEAKER_39
transcript.pyannote[2572].start 13940.77221875
transcript.pyannote[2572].end 13942.62846875
transcript.pyannote[2573].speaker SPEAKER_39
transcript.pyannote[2573].start 13942.78034375
transcript.pyannote[2573].end 13942.79721875
transcript.pyannote[2574].speaker SPEAKER_25
transcript.pyannote[2574].start 13942.79721875
transcript.pyannote[2574].end 13943.01659375
transcript.pyannote[2575].speaker SPEAKER_39
transcript.pyannote[2575].start 13943.01659375
transcript.pyannote[2575].end 13944.75471875
transcript.pyannote[2576].speaker SPEAKER_39
transcript.pyannote[2576].start 13944.97409375
transcript.pyannote[2576].end 13949.26034375
transcript.pyannote[2577].speaker SPEAKER_39
transcript.pyannote[2577].start 13949.66534375
transcript.pyannote[2577].end 13950.22221875
transcript.pyannote[2578].speaker SPEAKER_25
transcript.pyannote[2578].start 13950.22221875
transcript.pyannote[2578].end 13951.08284375
transcript.pyannote[2579].speaker SPEAKER_39
transcript.pyannote[2579].start 13950.50909375
transcript.pyannote[2579].end 13953.12471875
transcript.pyannote[2580].speaker SPEAKER_25
transcript.pyannote[2580].start 13951.30221875
transcript.pyannote[2580].end 13951.52159375
transcript.pyannote[2581].speaker SPEAKER_39
transcript.pyannote[2581].start 13953.58034375
transcript.pyannote[2581].end 13957.52909375
transcript.pyannote[2582].speaker SPEAKER_25
transcript.pyannote[2582].start 13956.49971875
transcript.pyannote[2582].end 13956.60096875
transcript.pyannote[2583].speaker SPEAKER_25
transcript.pyannote[2583].start 13957.52909375
transcript.pyannote[2583].end 13958.10284375
transcript.pyannote[2584].speaker SPEAKER_13
transcript.pyannote[2584].start 13965.61221875
transcript.pyannote[2584].end 13967.68784375
transcript.pyannote[2585].speaker SPEAKER_37
transcript.pyannote[2585].start 13983.22971875
transcript.pyannote[2585].end 13985.25471875
transcript.pyannote[2586].speaker SPEAKER_13
transcript.pyannote[2586].start 13986.16596875
transcript.pyannote[2586].end 13986.60471875
transcript.pyannote[2587].speaker SPEAKER_37
transcript.pyannote[2587].start 13986.60471875
transcript.pyannote[2587].end 13986.70596875
transcript.pyannote[2588].speaker SPEAKER_13
transcript.pyannote[2588].start 13986.70596875
transcript.pyannote[2588].end 13987.92096875
transcript.pyannote[2589].speaker SPEAKER_29
transcript.pyannote[2589].start 13993.70909375
transcript.pyannote[2589].end 13994.36721875
transcript.pyannote[2590].speaker SPEAKER_29
transcript.pyannote[2590].start 13996.62846875
transcript.pyannote[2590].end 13997.99534375
transcript.pyannote[2591].speaker SPEAKER_37
transcript.pyannote[2591].start 13998.26534375
transcript.pyannote[2591].end 14002.18034375
transcript.pyannote[2592].speaker SPEAKER_37
transcript.pyannote[2592].start 14002.66971875
transcript.pyannote[2592].end 14005.38659375
transcript.pyannote[2593].speaker SPEAKER_25
transcript.pyannote[2593].start 14005.38659375
transcript.pyannote[2593].end 14005.62284375
transcript.pyannote[2594].speaker SPEAKER_37
transcript.pyannote[2594].start 14005.62284375
transcript.pyannote[2594].end 14005.63971875
transcript.pyannote[2595].speaker SPEAKER_37
transcript.pyannote[2595].start 14005.90971875
transcript.pyannote[2595].end 14008.98096875
transcript.pyannote[2596].speaker SPEAKER_37
transcript.pyannote[2596].start 14009.40284375
transcript.pyannote[2596].end 14011.57971875
transcript.pyannote[2597].speaker SPEAKER_37
transcript.pyannote[2597].start 14011.81596875
transcript.pyannote[2597].end 14013.79034375
transcript.pyannote[2598].speaker SPEAKER_37
transcript.pyannote[2598].start 14014.14471875
transcript.pyannote[2598].end 14022.14346875
transcript.pyannote[2599].speaker SPEAKER_37
transcript.pyannote[2599].start 14022.58221875
transcript.pyannote[2599].end 14039.42346875
transcript.pyannote[2600].speaker SPEAKER_37
transcript.pyannote[2600].start 14039.59221875
transcript.pyannote[2600].end 14045.61659375
transcript.pyannote[2601].speaker SPEAKER_37
transcript.pyannote[2601].start 14046.03846875
transcript.pyannote[2601].end 14048.56971875
transcript.pyannote[2602].speaker SPEAKER_37
transcript.pyannote[2602].start 14048.97471875
transcript.pyannote[2602].end 14054.56034375
transcript.pyannote[2603].speaker SPEAKER_37
transcript.pyannote[2603].start 14054.94846875
transcript.pyannote[2603].end 14055.65721875
transcript.pyannote[2604].speaker SPEAKER_37
transcript.pyannote[2604].start 14056.07909375
transcript.pyannote[2604].end 14058.05346875
transcript.pyannote[2605].speaker SPEAKER_37
transcript.pyannote[2605].start 14058.39096875
transcript.pyannote[2605].end 14059.15034375
transcript.pyannote[2606].speaker SPEAKER_37
transcript.pyannote[2606].start 14059.85909375
transcript.pyannote[2606].end 14065.07346875
transcript.pyannote[2607].speaker SPEAKER_37
transcript.pyannote[2607].start 14065.51221875
transcript.pyannote[2607].end 14068.80284375
transcript.pyannote[2608].speaker SPEAKER_37
transcript.pyannote[2608].start 14069.05596875
transcript.pyannote[2608].end 14070.52409375
transcript.pyannote[2609].speaker SPEAKER_37
transcript.pyannote[2609].start 14071.09784375
transcript.pyannote[2609].end 14072.22846875
transcript.pyannote[2610].speaker SPEAKER_37
transcript.pyannote[2610].start 14072.63346875
transcript.pyannote[2610].end 14074.11846875
transcript.pyannote[2611].speaker SPEAKER_37
transcript.pyannote[2611].start 14074.16909375
transcript.pyannote[2611].end 14075.53596875
transcript.pyannote[2612].speaker SPEAKER_37
transcript.pyannote[2612].start 14075.85659375
transcript.pyannote[2612].end 14077.37534375
transcript.pyannote[2613].speaker SPEAKER_37
transcript.pyannote[2613].start 14077.51034375
transcript.pyannote[2613].end 14080.86846875
transcript.pyannote[2614].speaker SPEAKER_37
transcript.pyannote[2614].start 14081.22284375
transcript.pyannote[2614].end 14083.31534375
transcript.pyannote[2615].speaker SPEAKER_37
transcript.pyannote[2615].start 14083.65284375
transcript.pyannote[2615].end 14085.64409375
transcript.pyannote[2616].speaker SPEAKER_37
transcript.pyannote[2616].start 14086.30221875
transcript.pyannote[2616].end 14090.25096875
transcript.pyannote[2617].speaker SPEAKER_37
transcript.pyannote[2617].start 14090.41971875
transcript.pyannote[2617].end 14092.96784375
transcript.pyannote[2618].speaker SPEAKER_37
transcript.pyannote[2618].start 14093.40659375
transcript.pyannote[2618].end 14098.58721875
transcript.pyannote[2619].speaker SPEAKER_37
transcript.pyannote[2619].start 14098.97534375
transcript.pyannote[2619].end 14103.05909375
transcript.pyannote[2620].speaker SPEAKER_25
transcript.pyannote[2620].start 14103.05909375
transcript.pyannote[2620].end 14103.49784375
transcript.pyannote[2621].speaker SPEAKER_37
transcript.pyannote[2621].start 14104.05471875
transcript.pyannote[2621].end 14105.11784375
transcript.pyannote[2622].speaker SPEAKER_37
transcript.pyannote[2622].start 14105.75909375
transcript.pyannote[2622].end 14109.30284375
transcript.pyannote[2623].speaker SPEAKER_37
transcript.pyannote[2623].start 14110.78784375
transcript.pyannote[2623].end 14121.68909375
transcript.pyannote[2624].speaker SPEAKER_37
transcript.pyannote[2624].start 14121.90846875
transcript.pyannote[2624].end 14125.03034375
transcript.pyannote[2625].speaker SPEAKER_37
transcript.pyannote[2625].start 14125.89096875
transcript.pyannote[2625].end 14129.33346875
transcript.pyannote[2626].speaker SPEAKER_37
transcript.pyannote[2626].start 14129.75534375
transcript.pyannote[2626].end 14150.98409375
transcript.pyannote[2627].speaker SPEAKER_37
transcript.pyannote[2627].start 14151.38909375
transcript.pyannote[2627].end 14158.25721875
transcript.pyannote[2628].speaker SPEAKER_37
transcript.pyannote[2628].start 14158.74659375
transcript.pyannote[2628].end 14162.59409375
transcript.pyannote[2629].speaker SPEAKER_37
transcript.pyannote[2629].start 14162.98221875
transcript.pyannote[2629].end 14164.21409375
transcript.pyannote[2630].speaker SPEAKER_37
transcript.pyannote[2630].start 14164.72034375
transcript.pyannote[2630].end 14168.01096875
transcript.pyannote[2631].speaker SPEAKER_37
transcript.pyannote[2631].start 14168.41596875
transcript.pyannote[2631].end 14169.79971875
transcript.pyannote[2632].speaker SPEAKER_37
transcript.pyannote[2632].start 14170.42409375
transcript.pyannote[2632].end 14175.97596875
transcript.pyannote[2633].speaker SPEAKER_37
transcript.pyannote[2633].start 14176.09409375
transcript.pyannote[2633].end 14192.34471875
transcript.pyannote[2634].speaker SPEAKER_37
transcript.pyannote[2634].start 14193.01971875
transcript.pyannote[2634].end 14193.44159375
transcript.pyannote[2635].speaker SPEAKER_37
transcript.pyannote[2635].start 14196.25971875
transcript.pyannote[2635].end 14200.10721875
transcript.pyannote[2636].speaker SPEAKER_37
transcript.pyannote[2636].start 14200.39409375
transcript.pyannote[2636].end 14200.84971875
transcript.pyannote[2637].speaker SPEAKER_37
transcript.pyannote[2637].start 14201.65971875
transcript.pyannote[2637].end 14202.99284375
transcript.pyannote[2638].speaker SPEAKER_37
transcript.pyannote[2638].start 14204.07284375
transcript.pyannote[2638].end 14213.77596875
transcript.pyannote[2639].speaker SPEAKER_37
transcript.pyannote[2639].start 14214.50159375
transcript.pyannote[2639].end 14218.07909375
transcript.pyannote[2640].speaker SPEAKER_37
transcript.pyannote[2640].start 14218.51784375
transcript.pyannote[2640].end 14220.77909375
transcript.pyannote[2641].speaker SPEAKER_37
transcript.pyannote[2641].start 14221.04909375
transcript.pyannote[2641].end 14224.98096875
transcript.pyannote[2642].speaker SPEAKER_37
transcript.pyannote[2642].start 14225.43659375
transcript.pyannote[2642].end 14225.87534375
transcript.pyannote[2643].speaker SPEAKER_37
transcript.pyannote[2643].start 14226.22971875
transcript.pyannote[2643].end 14226.87096875
transcript.pyannote[2644].speaker SPEAKER_37
transcript.pyannote[2644].start 14227.49534375
transcript.pyannote[2644].end 14230.93784375
transcript.pyannote[2645].speaker SPEAKER_37
transcript.pyannote[2645].start 14231.39346875
transcript.pyannote[2645].end 14239.69596875
transcript.pyannote[2646].speaker SPEAKER_37
transcript.pyannote[2646].start 14240.15159375
transcript.pyannote[2646].end 14247.84659375
transcript.pyannote[2647].speaker SPEAKER_29
transcript.pyannote[2647].start 14247.94784375
transcript.pyannote[2647].end 14248.82534375
transcript.pyannote[2648].speaker SPEAKER_29
transcript.pyannote[2648].start 14249.01096875
transcript.pyannote[2648].end 14249.39909375
transcript.pyannote[2649].speaker SPEAKER_29
transcript.pyannote[2649].start 14250.10784375
transcript.pyannote[2649].end 14257.87034375
transcript.pyannote[2650].speaker SPEAKER_29
transcript.pyannote[2650].start 14258.61284375
transcript.pyannote[2650].end 14265.27846875
transcript.pyannote[2651].speaker SPEAKER_29
transcript.pyannote[2651].start 14265.34596875
transcript.pyannote[2651].end 14296.24409375
transcript.pyannote[2652].speaker SPEAKER_37
transcript.pyannote[2652].start 14294.80971875
transcript.pyannote[2652].end 14299.24784375
transcript.pyannote[2653].speaker SPEAKER_37
transcript.pyannote[2653].start 14299.38284375
transcript.pyannote[2653].end 14299.41659375
transcript.pyannote[2654].speaker SPEAKER_29
transcript.pyannote[2654].start 14299.41659375
transcript.pyannote[2654].end 14299.70346875
transcript.pyannote[2655].speaker SPEAKER_37
transcript.pyannote[2655].start 14299.43346875
transcript.pyannote[2655].end 14311.70159375
transcript.pyannote[2656].speaker SPEAKER_26
transcript.pyannote[2656].start 14310.31784375
transcript.pyannote[2656].end 14312.22471875
transcript.pyannote[2657].speaker SPEAKER_37
transcript.pyannote[2657].start 14311.83659375
transcript.pyannote[2657].end 14323.63221875
transcript.pyannote[2658].speaker SPEAKER_37
transcript.pyannote[2658].start 14323.78409375
transcript.pyannote[2658].end 14325.37034375
transcript.pyannote[2659].speaker SPEAKER_37
transcript.pyannote[2659].start 14325.74159375
transcript.pyannote[2659].end 14326.26471875
transcript.pyannote[2660].speaker SPEAKER_37
transcript.pyannote[2660].start 14326.53471875
transcript.pyannote[2660].end 14328.39096875
transcript.pyannote[2661].speaker SPEAKER_37
transcript.pyannote[2661].start 14329.13346875
transcript.pyannote[2661].end 14330.24721875
transcript.pyannote[2662].speaker SPEAKER_37
transcript.pyannote[2662].start 14330.31471875
transcript.pyannote[2662].end 14332.44096875
transcript.pyannote[2663].speaker SPEAKER_37
transcript.pyannote[2663].start 14332.67721875
transcript.pyannote[2663].end 14339.57909375
transcript.pyannote[2664].speaker SPEAKER_37
transcript.pyannote[2664].start 14339.73096875
transcript.pyannote[2664].end 14341.01346875
transcript.pyannote[2665].speaker SPEAKER_37
transcript.pyannote[2665].start 14341.92471875
transcript.pyannote[2665].end 14355.07034375
transcript.pyannote[2666].speaker SPEAKER_37
transcript.pyannote[2666].start 14355.23909375
transcript.pyannote[2666].end 14357.21346875
transcript.pyannote[2667].speaker SPEAKER_37
transcript.pyannote[2667].start 14357.36534375
transcript.pyannote[2667].end 14358.20909375
transcript.pyannote[2668].speaker SPEAKER_37
transcript.pyannote[2668].start 14358.95159375
transcript.pyannote[2668].end 14367.64221875
transcript.pyannote[2669].speaker SPEAKER_37
transcript.pyannote[2669].start 14367.82784375
transcript.pyannote[2669].end 14368.40159375
transcript.pyannote[2670].speaker SPEAKER_37
transcript.pyannote[2670].start 14368.84034375
transcript.pyannote[2670].end 14382.39096875
transcript.pyannote[2671].speaker SPEAKER_29
transcript.pyannote[2671].start 14382.39096875
transcript.pyannote[2671].end 14399.67096875
transcript.pyannote[2672].speaker SPEAKER_37
transcript.pyannote[2672].start 14400.34596875
transcript.pyannote[2672].end 14411.73659375
transcript.pyannote[2673].speaker SPEAKER_26
transcript.pyannote[2673].start 14404.88534375
transcript.pyannote[2673].end 14404.93596875
transcript.pyannote[2674].speaker SPEAKER_29
transcript.pyannote[2674].start 14404.93596875
transcript.pyannote[2674].end 14404.95284375
transcript.pyannote[2675].speaker SPEAKER_26
transcript.pyannote[2675].start 14404.95284375
transcript.pyannote[2675].end 14404.96971875
transcript.pyannote[2676].speaker SPEAKER_26
transcript.pyannote[2676].start 14406.72471875
transcript.pyannote[2676].end 14406.80909375
transcript.pyannote[2677].speaker SPEAKER_29
transcript.pyannote[2677].start 14406.80909375
transcript.pyannote[2677].end 14406.97784375
transcript.pyannote[2678].speaker SPEAKER_26
transcript.pyannote[2678].start 14406.97784375
transcript.pyannote[2678].end 14407.23096875
transcript.pyannote[2679].speaker SPEAKER_24
transcript.pyannote[2679].start 14407.23096875
transcript.pyannote[2679].end 14407.28159375
transcript.pyannote[2680].speaker SPEAKER_24
transcript.pyannote[2680].start 14409.49221875
transcript.pyannote[2680].end 14409.50909375
transcript.pyannote[2681].speaker SPEAKER_26
transcript.pyannote[2681].start 14409.71159375
transcript.pyannote[2681].end 14410.03221875
transcript.pyannote[2682].speaker SPEAKER_25
transcript.pyannote[2682].start 14410.03221875
transcript.pyannote[2682].end 14411.09534375
transcript.pyannote[2683].speaker SPEAKER_13
transcript.pyannote[2683].start 14417.50784375
transcript.pyannote[2683].end 14420.07284375
transcript.pyannote[2684].speaker SPEAKER_13
transcript.pyannote[2684].start 14422.13159375
transcript.pyannote[2684].end 14422.46909375
transcript.pyannote[2685].speaker SPEAKER_24
transcript.pyannote[2685].start 14434.29846875
transcript.pyannote[2685].end 14434.55159375
transcript.pyannote[2686].speaker SPEAKER_14
transcript.pyannote[2686].start 14434.55159375
transcript.pyannote[2686].end 14435.59784375
transcript.pyannote[2687].speaker SPEAKER_24
transcript.pyannote[2687].start 14434.60221875
transcript.pyannote[2687].end 14434.61909375
transcript.pyannote[2688].speaker SPEAKER_24
transcript.pyannote[2688].start 14435.59784375
transcript.pyannote[2688].end 14436.03659375
transcript.pyannote[2689].speaker SPEAKER_14
transcript.pyannote[2689].start 14436.03659375
transcript.pyannote[2689].end 14436.42471875
transcript.pyannote[2690].speaker SPEAKER_36
transcript.pyannote[2690].start 14440.28909375
transcript.pyannote[2690].end 14440.60971875
transcript.pyannote[2691].speaker SPEAKER_14
transcript.pyannote[2691].start 14441.95971875
transcript.pyannote[2691].end 14442.65159375
transcript.pyannote[2692].speaker SPEAKER_36
transcript.pyannote[2692].start 14443.57971875
transcript.pyannote[2692].end 14444.55846875
transcript.pyannote[2693].speaker SPEAKER_36
transcript.pyannote[2693].start 14450.86971875
transcript.pyannote[2693].end 14450.90346875
transcript.pyannote[2694].speaker SPEAKER_29
transcript.pyannote[2694].start 14450.90346875
transcript.pyannote[2694].end 14451.22409375
transcript.pyannote[2695].speaker SPEAKER_14
transcript.pyannote[2695].start 14451.22409375
transcript.pyannote[2695].end 14460.53909375
transcript.pyannote[2696].speaker SPEAKER_14
transcript.pyannote[2696].start 14460.92721875
transcript.pyannote[2696].end 14463.99846875
transcript.pyannote[2697].speaker SPEAKER_24
transcript.pyannote[2697].start 14463.91409375
transcript.pyannote[2697].end 14464.35284375
transcript.pyannote[2698].speaker SPEAKER_14
transcript.pyannote[2698].start 14464.20096875
transcript.pyannote[2698].end 14465.33159375
transcript.pyannote[2699].speaker SPEAKER_14
transcript.pyannote[2699].start 14466.20909375
transcript.pyannote[2699].end 14472.03096875
transcript.pyannote[2700].speaker SPEAKER_24
transcript.pyannote[2700].start 14469.24659375
transcript.pyannote[2700].end 14469.43221875
transcript.pyannote[2701].speaker SPEAKER_29
transcript.pyannote[2701].start 14469.43221875
transcript.pyannote[2701].end 14469.44909375
transcript.pyannote[2702].speaker SPEAKER_24
transcript.pyannote[2702].start 14469.44909375
transcript.pyannote[2702].end 14469.49971875
transcript.pyannote[2703].speaker SPEAKER_14
transcript.pyannote[2703].start 14472.57096875
transcript.pyannote[2703].end 14474.49471875
transcript.pyannote[2704].speaker SPEAKER_29
transcript.pyannote[2704].start 14474.64659375
transcript.pyannote[2704].end 14484.04596875
transcript.pyannote[2705].speaker SPEAKER_14
transcript.pyannote[2705].start 14482.20659375
transcript.pyannote[2705].end 14485.73346875
transcript.pyannote[2706].speaker SPEAKER_14
transcript.pyannote[2706].start 14486.25659375
transcript.pyannote[2706].end 14495.04846875
transcript.pyannote[2707].speaker SPEAKER_29
transcript.pyannote[2707].start 14488.83846875
transcript.pyannote[2707].end 14489.68221875
transcript.pyannote[2708].speaker SPEAKER_29
transcript.pyannote[2708].start 14493.74909375
transcript.pyannote[2708].end 14494.13721875
transcript.pyannote[2709].speaker SPEAKER_29
transcript.pyannote[2709].start 14494.99784375
transcript.pyannote[2709].end 14497.25909375
transcript.pyannote[2710].speaker SPEAKER_14
transcript.pyannote[2710].start 14497.17471875
transcript.pyannote[2710].end 14502.38909375
transcript.pyannote[2711].speaker SPEAKER_29
transcript.pyannote[2711].start 14498.99721875
transcript.pyannote[2711].end 14499.03096875
transcript.pyannote[2712].speaker SPEAKER_29
transcript.pyannote[2712].start 14499.30096875
transcript.pyannote[2712].end 14499.68909375
transcript.pyannote[2713].speaker SPEAKER_29
transcript.pyannote[2713].start 14502.00096875
transcript.pyannote[2713].end 14504.14409375
transcript.pyannote[2714].speaker SPEAKER_14
transcript.pyannote[2714].start 14502.54096875
transcript.pyannote[2714].end 14503.58721875
transcript.pyannote[2715].speaker SPEAKER_14
transcript.pyannote[2715].start 14503.84034375
transcript.pyannote[2715].end 14509.81409375
transcript.pyannote[2716].speaker SPEAKER_16
transcript.pyannote[2716].start 14506.64159375
transcript.pyannote[2716].end 14506.86096875
transcript.pyannote[2717].speaker SPEAKER_16
transcript.pyannote[2717].start 14509.81409375
transcript.pyannote[2717].end 14509.98284375
transcript.pyannote[2718].speaker SPEAKER_14
transcript.pyannote[2718].start 14509.98284375
transcript.pyannote[2718].end 14510.55659375
transcript.pyannote[2719].speaker SPEAKER_16
transcript.pyannote[2719].start 14510.06721875
transcript.pyannote[2719].end 14510.10096875
transcript.pyannote[2720].speaker SPEAKER_14
transcript.pyannote[2720].start 14511.38346875
transcript.pyannote[2720].end 14514.91034375
transcript.pyannote[2721].speaker SPEAKER_14
transcript.pyannote[2721].start 14515.36596875
transcript.pyannote[2721].end 14523.38159375
transcript.pyannote[2722].speaker SPEAKER_14
transcript.pyannote[2722].start 14524.25909375
transcript.pyannote[2722].end 14524.86659375
transcript.pyannote[2723].speaker SPEAKER_14
transcript.pyannote[2723].start 14524.93409375
transcript.pyannote[2723].end 14526.21659375
transcript.pyannote[2724].speaker SPEAKER_29
transcript.pyannote[2724].start 14525.13659375
transcript.pyannote[2724].end 14539.26096875
transcript.pyannote[2725].speaker SPEAKER_14
transcript.pyannote[2725].start 14539.26096875
transcript.pyannote[2725].end 14551.24221875
transcript.pyannote[2726].speaker SPEAKER_14
transcript.pyannote[2726].start 14551.42784375
transcript.pyannote[2726].end 14556.05159375
transcript.pyannote[2727].speaker SPEAKER_14
transcript.pyannote[2727].start 14556.15284375
transcript.pyannote[2727].end 14561.95784375
transcript.pyannote[2728].speaker SPEAKER_14
transcript.pyannote[2728].start 14562.17721875
transcript.pyannote[2728].end 14569.12971875
transcript.pyannote[2729].speaker SPEAKER_29
transcript.pyannote[2729].start 14569.95659375
transcript.pyannote[2729].end 14575.27221875
transcript.pyannote[2730].speaker SPEAKER_24
transcript.pyannote[2730].start 14575.35659375
transcript.pyannote[2730].end 14575.69409375
transcript.pyannote[2731].speaker SPEAKER_29
transcript.pyannote[2731].start 14575.69409375
transcript.pyannote[2731].end 14587.23659375
transcript.pyannote[2732].speaker SPEAKER_14
transcript.pyannote[2732].start 14587.38846875
transcript.pyannote[2732].end 14591.42159375
transcript.pyannote[2733].speaker SPEAKER_29
transcript.pyannote[2733].start 14591.59034375
transcript.pyannote[2733].end 14591.74221875
transcript.pyannote[2734].speaker SPEAKER_14
transcript.pyannote[2734].start 14591.74221875
transcript.pyannote[2734].end 14595.99471875
transcript.pyannote[2735].speaker SPEAKER_29
transcript.pyannote[2735].start 14591.79284375
transcript.pyannote[2735].end 14591.89409375
transcript.pyannote[2736].speaker SPEAKER_14
transcript.pyannote[2736].start 14596.36596875
transcript.pyannote[2736].end 14597.98596875
transcript.pyannote[2737].speaker SPEAKER_24
transcript.pyannote[2737].start 14599.26846875
transcript.pyannote[2737].end 14599.67346875
transcript.pyannote[2738].speaker SPEAKER_14
transcript.pyannote[2738].start 14599.67346875
transcript.pyannote[2738].end 14600.44971875
transcript.pyannote[2739].speaker SPEAKER_14
transcript.pyannote[2739].start 14600.88846875
transcript.pyannote[2739].end 14607.94221875
transcript.pyannote[2740].speaker SPEAKER_29
transcript.pyannote[2740].start 14608.43159375
transcript.pyannote[2740].end 14639.97096875
transcript.pyannote[2741].speaker SPEAKER_14
transcript.pyannote[2741].start 14640.35909375
transcript.pyannote[2741].end 14649.74159375
transcript.pyannote[2742].speaker SPEAKER_29
transcript.pyannote[2742].start 14644.12221875
transcript.pyannote[2742].end 14645.50596875
transcript.pyannote[2743].speaker SPEAKER_14
transcript.pyannote[2743].start 14650.28159375
transcript.pyannote[2743].end 14655.69846875
transcript.pyannote[2744].speaker SPEAKER_24
transcript.pyannote[2744].start 14653.40346875
transcript.pyannote[2744].end 14653.42034375
transcript.pyannote[2745].speaker SPEAKER_14
transcript.pyannote[2745].start 14656.33971875
transcript.pyannote[2745].end 14659.76534375
transcript.pyannote[2746].speaker SPEAKER_14
transcript.pyannote[2746].start 14660.10284375
transcript.pyannote[2746].end 14660.76096875
transcript.pyannote[2747].speaker SPEAKER_14
transcript.pyannote[2747].start 14660.81159375
transcript.pyannote[2747].end 14663.37659375
transcript.pyannote[2748].speaker SPEAKER_14
transcript.pyannote[2748].start 14664.35534375
transcript.pyannote[2748].end 14669.97471875
transcript.pyannote[2749].speaker SPEAKER_14
transcript.pyannote[2749].start 14670.48096875
transcript.pyannote[2749].end 14675.34096875
transcript.pyannote[2750].speaker SPEAKER_29
transcript.pyannote[2750].start 14673.85596875
transcript.pyannote[2750].end 14675.83034375
transcript.pyannote[2751].speaker SPEAKER_14
transcript.pyannote[2751].start 14675.77971875
transcript.pyannote[2751].end 14679.42471875
transcript.pyannote[2752].speaker SPEAKER_14
transcript.pyannote[2752].start 14679.77909375
transcript.pyannote[2752].end 14680.82534375
transcript.pyannote[2753].speaker SPEAKER_14
transcript.pyannote[2753].start 14681.33159375
transcript.pyannote[2753].end 14684.55471875
transcript.pyannote[2754].speaker SPEAKER_14
transcript.pyannote[2754].start 14685.16221875
transcript.pyannote[2754].end 14689.02659375
transcript.pyannote[2755].speaker SPEAKER_14
transcript.pyannote[2755].start 14689.51596875
transcript.pyannote[2755].end 14691.18659375
transcript.pyannote[2756].speaker SPEAKER_14
transcript.pyannote[2756].start 14691.49034375
transcript.pyannote[2756].end 14694.44346875
transcript.pyannote[2757].speaker SPEAKER_14
transcript.pyannote[2757].start 14694.69659375
transcript.pyannote[2757].end 14696.83971875
transcript.pyannote[2758].speaker SPEAKER_20
transcript.pyannote[2758].start 14696.70471875
transcript.pyannote[2758].end 14697.05909375
transcript.pyannote[2759].speaker SPEAKER_14
transcript.pyannote[2759].start 14696.89034375
transcript.pyannote[2759].end 14699.77596875
transcript.pyannote[2760].speaker SPEAKER_14
transcript.pyannote[2760].start 14700.60284375
transcript.pyannote[2760].end 14705.69909375
transcript.pyannote[2761].speaker SPEAKER_14
transcript.pyannote[2761].start 14706.25596875
transcript.pyannote[2761].end 14708.90534375
transcript.pyannote[2762].speaker SPEAKER_14
transcript.pyannote[2762].start 14708.92221875
transcript.pyannote[2762].end 14712.46596875
transcript.pyannote[2763].speaker SPEAKER_14
transcript.pyannote[2763].start 14712.88784375
transcript.pyannote[2763].end 14716.54971875
transcript.pyannote[2764].speaker SPEAKER_29
transcript.pyannote[2764].start 14716.39784375
transcript.pyannote[2764].end 14716.97159375
transcript.pyannote[2765].speaker SPEAKER_14
transcript.pyannote[2765].start 14716.61721875
transcript.pyannote[2765].end 14717.51159375
transcript.pyannote[2766].speaker SPEAKER_29
transcript.pyannote[2766].start 14717.51159375
transcript.pyannote[2766].end 14721.42659375
transcript.pyannote[2767].speaker SPEAKER_14
transcript.pyannote[2767].start 14718.52409375
transcript.pyannote[2767].end 14741.06909375
transcript.pyannote[2768].speaker SPEAKER_29
transcript.pyannote[2768].start 14722.35471875
transcript.pyannote[2768].end 14723.19846875
transcript.pyannote[2769].speaker SPEAKER_29
transcript.pyannote[2769].start 14725.47659375
transcript.pyannote[2769].end 14725.74659375
transcript.pyannote[2770].speaker SPEAKER_24
transcript.pyannote[2770].start 14725.74659375
transcript.pyannote[2770].end 14725.78034375
transcript.pyannote[2771].speaker SPEAKER_29
transcript.pyannote[2771].start 14725.78034375
transcript.pyannote[2771].end 14725.79721875
transcript.pyannote[2772].speaker SPEAKER_49
transcript.pyannote[2772].start 14736.46221875
transcript.pyannote[2772].end 14736.64784375
transcript.pyannote[2773].speaker SPEAKER_49
transcript.pyannote[2773].start 14736.79971875
transcript.pyannote[2773].end 14738.67284375
transcript.pyannote[2774].speaker SPEAKER_49
transcript.pyannote[2774].start 14739.73596875
transcript.pyannote[2774].end 14740.29284375
transcript.pyannote[2775].speaker SPEAKER_49
transcript.pyannote[2775].start 14740.84971875
transcript.pyannote[2775].end 14741.03534375
transcript.pyannote[2776].speaker SPEAKER_49
transcript.pyannote[2776].start 14741.06909375
transcript.pyannote[2776].end 14741.55846875
transcript.pyannote[2777].speaker SPEAKER_49
transcript.pyannote[2777].start 14741.87909375
transcript.pyannote[2777].end 14743.92096875
transcript.pyannote[2778].speaker SPEAKER_49
transcript.pyannote[2778].start 14745.28784375
transcript.pyannote[2778].end 14749.54034375
transcript.pyannote[2779].speaker SPEAKER_24
transcript.pyannote[2779].start 14749.54034375
transcript.pyannote[2779].end 14751.73409375
transcript.pyannote[2780].speaker SPEAKER_49
transcript.pyannote[2780].start 14749.96221875
transcript.pyannote[2780].end 14751.22784375
transcript.pyannote[2781].speaker SPEAKER_49
transcript.pyannote[2781].start 14751.73409375
transcript.pyannote[2781].end 14753.33721875
transcript.pyannote[2782].speaker SPEAKER_24
transcript.pyannote[2782].start 14752.12221875
transcript.pyannote[2782].end 14752.96596875
transcript.pyannote[2783].speaker SPEAKER_49
transcript.pyannote[2783].start 14756.20596875
transcript.pyannote[2783].end 14757.48846875
transcript.pyannote[2784].speaker SPEAKER_44
transcript.pyannote[2784].start 14758.73721875
transcript.pyannote[2784].end 14762.61846875
transcript.pyannote[2785].speaker SPEAKER_49
transcript.pyannote[2785].start 14763.00659375
transcript.pyannote[2785].end 14765.03159375
transcript.pyannote[2786].speaker SPEAKER_44
transcript.pyannote[2786].start 14764.69409375
transcript.pyannote[2786].end 14764.74471875
transcript.pyannote[2787].speaker SPEAKER_44
transcript.pyannote[2787].start 14765.33534375
transcript.pyannote[2787].end 14766.21284375
transcript.pyannote[2788].speaker SPEAKER_49
transcript.pyannote[2788].start 14766.21284375
transcript.pyannote[2788].end 14767.69784375
transcript.pyannote[2789].speaker SPEAKER_44
transcript.pyannote[2789].start 14766.55034375
transcript.pyannote[2789].end 14767.12409375
transcript.pyannote[2790].speaker SPEAKER_49
transcript.pyannote[2790].start 14772.57471875
transcript.pyannote[2790].end 14773.01346875
transcript.pyannote[2791].speaker SPEAKER_26
transcript.pyannote[2791].start 14773.01346875
transcript.pyannote[2791].end 14773.03034375
transcript.pyannote[2792].speaker SPEAKER_44
transcript.pyannote[2792].start 14773.11471875
transcript.pyannote[2792].end 14774.27909375
transcript.pyannote[2793].speaker SPEAKER_44
transcript.pyannote[2793].start 14775.12284375
transcript.pyannote[2793].end 14782.91909375
transcript.pyannote[2794].speaker SPEAKER_24
transcript.pyannote[2794].start 14782.91909375
transcript.pyannote[2794].end 14783.35784375
transcript.pyannote[2795].speaker SPEAKER_44
transcript.pyannote[2795].start 14783.47596875
transcript.pyannote[2795].end 14787.05346875
transcript.pyannote[2796].speaker SPEAKER_44
transcript.pyannote[2796].start 14787.61034375
transcript.pyannote[2796].end 14788.70721875
transcript.pyannote[2797].speaker SPEAKER_44
transcript.pyannote[2797].start 14789.19659375
transcript.pyannote[2797].end 14790.73221875
transcript.pyannote[2798].speaker SPEAKER_44
transcript.pyannote[2798].start 14791.42409375
transcript.pyannote[2798].end 14793.60096875
transcript.pyannote[2799].speaker SPEAKER_24
transcript.pyannote[2799].start 14793.70221875
transcript.pyannote[2799].end 14794.07346875
transcript.pyannote[2800].speaker SPEAKER_44
transcript.pyannote[2800].start 14794.24221875
transcript.pyannote[2800].end 14799.03471875
transcript.pyannote[2801].speaker SPEAKER_44
transcript.pyannote[2801].start 14799.30471875
transcript.pyannote[2801].end 14801.65034375
transcript.pyannote[2802].speaker SPEAKER_44
transcript.pyannote[2802].start 14802.17346875
transcript.pyannote[2802].end 14805.24471875
transcript.pyannote[2803].speaker SPEAKER_44
transcript.pyannote[2803].start 14805.75096875
transcript.pyannote[2803].end 14807.55659375
transcript.pyannote[2804].speaker SPEAKER_24
transcript.pyannote[2804].start 14807.70846875
transcript.pyannote[2804].end 14808.06284375
transcript.pyannote[2805].speaker SPEAKER_44
transcript.pyannote[2805].start 14808.09659375
transcript.pyannote[2805].end 14808.97409375
transcript.pyannote[2806].speaker SPEAKER_44
transcript.pyannote[2806].start 14809.26096875
transcript.pyannote[2806].end 14810.03721875
transcript.pyannote[2807].speaker SPEAKER_44
transcript.pyannote[2807].start 14810.07096875
transcript.pyannote[2807].end 14811.04971875
transcript.pyannote[2808].speaker SPEAKER_44
transcript.pyannote[2808].start 14811.82596875
transcript.pyannote[2808].end 14813.47971875
transcript.pyannote[2809].speaker SPEAKER_44
transcript.pyannote[2809].start 14814.82971875
transcript.pyannote[2809].end 14816.85471875
transcript.pyannote[2810].speaker SPEAKER_44
transcript.pyannote[2810].start 14817.68159375
transcript.pyannote[2810].end 14820.24659375
transcript.pyannote[2811].speaker SPEAKER_25
transcript.pyannote[2811].start 14820.24659375
transcript.pyannote[2811].end 14820.55034375
transcript.pyannote[2812].speaker SPEAKER_24
transcript.pyannote[2812].start 14820.55034375
transcript.pyannote[2812].end 14820.75284375
transcript.pyannote[2813].speaker SPEAKER_44
transcript.pyannote[2813].start 14821.52909375
transcript.pyannote[2813].end 14823.04784375
transcript.pyannote[2814].speaker SPEAKER_44
transcript.pyannote[2814].start 14823.35159375
transcript.pyannote[2814].end 14824.68471875
transcript.pyannote[2815].speaker SPEAKER_44
transcript.pyannote[2815].start 14825.12346875
transcript.pyannote[2815].end 14826.40596875
transcript.pyannote[2816].speaker SPEAKER_44
transcript.pyannote[2816].start 14826.99659375
transcript.pyannote[2816].end 14829.19034375
transcript.pyannote[2817].speaker SPEAKER_24
transcript.pyannote[2817].start 14829.42659375
transcript.pyannote[2817].end 14829.67971875
transcript.pyannote[2818].speaker SPEAKER_44
transcript.pyannote[2818].start 14829.83159375
transcript.pyannote[2818].end 14832.04221875
transcript.pyannote[2819].speaker SPEAKER_44
transcript.pyannote[2819].start 14833.12221875
transcript.pyannote[2819].end 14834.30346875
transcript.pyannote[2820].speaker SPEAKER_44
transcript.pyannote[2820].start 14834.35409375
transcript.pyannote[2820].end 14835.43409375
transcript.pyannote[2821].speaker SPEAKER_44
transcript.pyannote[2821].start 14836.58159375
transcript.pyannote[2821].end 14837.13846875
transcript.pyannote[2822].speaker SPEAKER_44
transcript.pyannote[2822].start 14837.69534375
transcript.pyannote[2822].end 14840.00721875
transcript.pyannote[2823].speaker SPEAKER_44
transcript.pyannote[2823].start 14840.37846875
transcript.pyannote[2823].end 14841.64409375
transcript.pyannote[2824].speaker SPEAKER_44
transcript.pyannote[2824].start 14841.96471875
transcript.pyannote[2824].end 14846.33534375
transcript.pyannote[2825].speaker SPEAKER_44
transcript.pyannote[2825].start 14846.97659375
transcript.pyannote[2825].end 14848.29284375
transcript.pyannote[2826].speaker SPEAKER_44
transcript.pyannote[2826].start 14848.96784375
transcript.pyannote[2826].end 14850.46971875
transcript.pyannote[2827].speaker SPEAKER_44
transcript.pyannote[2827].start 14851.06034375
transcript.pyannote[2827].end 14852.51159375
transcript.pyannote[2828].speaker SPEAKER_44
transcript.pyannote[2828].start 14852.89971875
transcript.pyannote[2828].end 14855.75159375
transcript.pyannote[2829].speaker SPEAKER_44
transcript.pyannote[2829].start 14856.51096875
transcript.pyannote[2829].end 14858.73846875
transcript.pyannote[2830].speaker SPEAKER_44
transcript.pyannote[2830].start 14859.07596875
transcript.pyannote[2830].end 14862.50159375
transcript.pyannote[2831].speaker SPEAKER_44
transcript.pyannote[2831].start 14863.29471875
transcript.pyannote[2831].end 14864.00346875
transcript.pyannote[2832].speaker SPEAKER_44
transcript.pyannote[2832].start 14864.96534375
transcript.pyannote[2832].end 14866.41659375
transcript.pyannote[2833].speaker SPEAKER_44
transcript.pyannote[2833].start 14867.31096875
transcript.pyannote[2833].end 14868.86346875
transcript.pyannote[2834].speaker SPEAKER_44
transcript.pyannote[2834].start 14869.35284375
transcript.pyannote[2834].end 14872.45784375
transcript.pyannote[2835].speaker SPEAKER_44
transcript.pyannote[2835].start 14872.93034375
transcript.pyannote[2835].end 14874.46596875
transcript.pyannote[2836].speaker SPEAKER_44
transcript.pyannote[2836].start 14876.13659375
transcript.pyannote[2836].end 14877.73971875
transcript.pyannote[2837].speaker SPEAKER_44
transcript.pyannote[2837].start 14878.34721875
transcript.pyannote[2837].end 14879.57909375
transcript.pyannote[2838].speaker SPEAKER_44
transcript.pyannote[2838].start 14881.08096875
transcript.pyannote[2838].end 14882.22846875
transcript.pyannote[2839].speaker SPEAKER_44
transcript.pyannote[2839].start 14882.68409375
transcript.pyannote[2839].end 14883.64596875
transcript.pyannote[2840].speaker SPEAKER_44
transcript.pyannote[2840].start 14884.08471875
transcript.pyannote[2840].end 14885.09721875
transcript.pyannote[2841].speaker SPEAKER_44
transcript.pyannote[2841].start 14885.68784375
transcript.pyannote[2841].end 14886.95346875
transcript.pyannote[2842].speaker SPEAKER_44
transcript.pyannote[2842].start 14887.12221875
transcript.pyannote[2842].end 14890.86846875
transcript.pyannote[2843].speaker SPEAKER_44
transcript.pyannote[2843].start 14891.18909375
transcript.pyannote[2843].end 14893.88909375
transcript.pyannote[2844].speaker SPEAKER_44
transcript.pyannote[2844].start 14894.42909375
transcript.pyannote[2844].end 14896.08284375
transcript.pyannote[2845].speaker SPEAKER_44
transcript.pyannote[2845].start 14896.65659375
transcript.pyannote[2845].end 14898.54659375
transcript.pyannote[2846].speaker SPEAKER_44
transcript.pyannote[2846].start 14899.32284375
transcript.pyannote[2846].end 14900.82471875
transcript.pyannote[2847].speaker SPEAKER_44
transcript.pyannote[2847].start 14902.39409375
transcript.pyannote[2847].end 14904.06471875
transcript.pyannote[2848].speaker SPEAKER_44
transcript.pyannote[2848].start 14904.60471875
transcript.pyannote[2848].end 14906.49471875
transcript.pyannote[2849].speaker SPEAKER_44
transcript.pyannote[2849].start 14907.82784375
transcript.pyannote[2849].end 14908.57034375
transcript.pyannote[2850].speaker SPEAKER_44
transcript.pyannote[2850].start 14909.04284375
transcript.pyannote[2850].end 14910.10596875
transcript.pyannote[2851].speaker SPEAKER_44
transcript.pyannote[2851].start 14910.46034375
transcript.pyannote[2851].end 14911.57409375
transcript.pyannote[2852].speaker SPEAKER_44
transcript.pyannote[2852].start 14914.27409375
transcript.pyannote[2852].end 14915.38784375
transcript.pyannote[2853].speaker SPEAKER_44
transcript.pyannote[2853].start 14916.28221875
transcript.pyannote[2853].end 14916.94034375
transcript.pyannote[2854].speaker SPEAKER_44
transcript.pyannote[2854].start 14917.69971875
transcript.pyannote[2854].end 14918.79659375
transcript.pyannote[2855].speaker SPEAKER_44
transcript.pyannote[2855].start 14919.23534375
transcript.pyannote[2855].end 14921.20971875
transcript.pyannote[2856].speaker SPEAKER_44
transcript.pyannote[2856].start 14922.03659375
transcript.pyannote[2856].end 14923.97721875
transcript.pyannote[2857].speaker SPEAKER_44
transcript.pyannote[2857].start 14924.55096875
transcript.pyannote[2857].end 14926.81221875
transcript.pyannote[2858].speaker SPEAKER_44
transcript.pyannote[2858].start 14927.53784375
transcript.pyannote[2858].end 14928.53346875
transcript.pyannote[2859].speaker SPEAKER_44
transcript.pyannote[2859].start 14929.03971875
transcript.pyannote[2859].end 14931.57096875
transcript.pyannote[2860].speaker SPEAKER_44
transcript.pyannote[2860].start 14932.04346875
transcript.pyannote[2860].end 14932.98846875
transcript.pyannote[2861].speaker SPEAKER_44
transcript.pyannote[2861].start 14934.05159375
transcript.pyannote[2861].end 14935.46909375
transcript.pyannote[2862].speaker SPEAKER_44
transcript.pyannote[2862].start 14936.44784375
transcript.pyannote[2862].end 14938.77659375
transcript.pyannote[2863].speaker SPEAKER_44
transcript.pyannote[2863].start 14939.89034375
transcript.pyannote[2863].end 14943.14721875
transcript.pyannote[2864].speaker SPEAKER_44
transcript.pyannote[2864].start 14944.07534375
transcript.pyannote[2864].end 14945.62784375
transcript.pyannote[2865].speaker SPEAKER_44
transcript.pyannote[2865].start 14945.99909375
transcript.pyannote[2865].end 14954.52096875
transcript.pyannote[2866].speaker SPEAKER_44
transcript.pyannote[2866].start 14956.24221875
transcript.pyannote[2866].end 14957.22096875
transcript.pyannote[2867].speaker SPEAKER_44
transcript.pyannote[2867].start 14957.50784375
transcript.pyannote[2867].end 14959.92096875
transcript.pyannote[2868].speaker SPEAKER_44
transcript.pyannote[2868].start 14960.42721875
transcript.pyannote[2868].end 14961.52409375
transcript.pyannote[2869].speaker SPEAKER_44
transcript.pyannote[2869].start 14962.30034375
transcript.pyannote[2869].end 14965.03409375
transcript.pyannote[2870].speaker SPEAKER_44
transcript.pyannote[2870].start 14965.11846875
transcript.pyannote[2870].end 14966.14784375
transcript.pyannote[2871].speaker SPEAKER_44
transcript.pyannote[2871].start 14967.19409375
transcript.pyannote[2871].end 14968.30784375
transcript.pyannote[2872].speaker SPEAKER_44
transcript.pyannote[2872].start 14968.62846875
transcript.pyannote[2872].end 14970.19784375
transcript.pyannote[2873].speaker SPEAKER_44
transcript.pyannote[2873].start 14971.39596875
transcript.pyannote[2873].end 14972.47596875
transcript.pyannote[2874].speaker SPEAKER_44
transcript.pyannote[2874].start 14972.99909375
transcript.pyannote[2874].end 14974.38284375
transcript.pyannote[2875].speaker SPEAKER_44
transcript.pyannote[2875].start 14974.75409375
transcript.pyannote[2875].end 14978.70284375
transcript.pyannote[2876].speaker SPEAKER_44
transcript.pyannote[2876].start 14979.22596875
transcript.pyannote[2876].end 14980.03596875
transcript.pyannote[2877].speaker SPEAKER_44
transcript.pyannote[2877].start 14980.30596875
transcript.pyannote[2877].end 14981.14971875
transcript.pyannote[2878].speaker SPEAKER_44
transcript.pyannote[2878].start 14981.38596875
transcript.pyannote[2878].end 14984.87909375
transcript.pyannote[2879].speaker SPEAKER_44
transcript.pyannote[2879].start 14985.95909375
transcript.pyannote[2879].end 14986.63409375
transcript.pyannote[2880].speaker SPEAKER_44
transcript.pyannote[2880].start 14987.29221875
transcript.pyannote[2880].end 14989.85721875
transcript.pyannote[2881].speaker SPEAKER_44
transcript.pyannote[2881].start 14990.22846875
transcript.pyannote[2881].end 14994.22784375
transcript.pyannote[2882].speaker SPEAKER_44
transcript.pyannote[2882].start 14995.15596875
transcript.pyannote[2882].end 15000.26909375
transcript.pyannote[2883].speaker SPEAKER_44
transcript.pyannote[2883].start 15002.51346875
transcript.pyannote[2883].end 15003.10409375
transcript.pyannote[2884].speaker SPEAKER_44
transcript.pyannote[2884].start 15003.47534375
transcript.pyannote[2884].end 15006.76596875
transcript.pyannote[2885].speaker SPEAKER_44
transcript.pyannote[2885].start 15007.22159375
transcript.pyannote[2885].end 15008.67284375
transcript.pyannote[2886].speaker SPEAKER_29
transcript.pyannote[2886].start 15008.67284375
transcript.pyannote[2886].end 15008.89221875
transcript.pyannote[2887].speaker SPEAKER_29
transcript.pyannote[2887].start 15009.29721875
transcript.pyannote[2887].end 15014.10659375
transcript.pyannote[2888].speaker SPEAKER_29
transcript.pyannote[2888].start 15014.37659375
transcript.pyannote[2888].end 15041.19096875
transcript.pyannote[2889].speaker SPEAKER_44
transcript.pyannote[2889].start 15040.70159375
transcript.pyannote[2889].end 15044.49846875
transcript.pyannote[2890].speaker SPEAKER_29
transcript.pyannote[2890].start 15043.26659375
transcript.pyannote[2890].end 15053.18909375
transcript.pyannote[2891].speaker SPEAKER_44
transcript.pyannote[2891].start 15049.15596875
transcript.pyannote[2891].end 15049.61159375
transcript.pyannote[2892].speaker SPEAKER_44
transcript.pyannote[2892].start 15051.63659375
transcript.pyannote[2892].end 15056.54721875
transcript.pyannote[2893].speaker SPEAKER_24
transcript.pyannote[2893].start 15056.54721875
transcript.pyannote[2893].end 15056.83409375
transcript.pyannote[2894].speaker SPEAKER_44
transcript.pyannote[2894].start 15056.83409375
transcript.pyannote[2894].end 15064.12409375
transcript.pyannote[2895].speaker SPEAKER_44
transcript.pyannote[2895].start 15064.57971875
transcript.pyannote[2895].end 15065.11971875
transcript.pyannote[2896].speaker SPEAKER_44
transcript.pyannote[2896].start 15065.22096875
transcript.pyannote[2896].end 15066.11534375
transcript.pyannote[2897].speaker SPEAKER_44
transcript.pyannote[2897].start 15066.23346875
transcript.pyannote[2897].end 15069.87846875
transcript.pyannote[2898].speaker SPEAKER_29
transcript.pyannote[2898].start 15068.68034375
transcript.pyannote[2898].end 15088.15409375
transcript.pyannote[2899].speaker SPEAKER_44
transcript.pyannote[2899].start 15087.71534375
transcript.pyannote[2899].end 15096.22034375
transcript.pyannote[2900].speaker SPEAKER_29
transcript.pyannote[2900].start 15088.35659375
transcript.pyannote[2900].end 15088.82909375
transcript.pyannote[2901].speaker SPEAKER_44
transcript.pyannote[2901].start 15096.35534375
transcript.pyannote[2901].end 15100.52346875
transcript.pyannote[2902].speaker SPEAKER_29
transcript.pyannote[2902].start 15099.93284375
transcript.pyannote[2902].end 15101.78909375
transcript.pyannote[2903].speaker SPEAKER_44
transcript.pyannote[2903].start 15101.33346875
transcript.pyannote[2903].end 15104.92784375
transcript.pyannote[2904].speaker SPEAKER_29
transcript.pyannote[2904].start 15104.47221875
transcript.pyannote[2904].end 15113.23034375
transcript.pyannote[2905].speaker SPEAKER_44
transcript.pyannote[2905].start 15111.18846875
transcript.pyannote[2905].end 15114.22596875
transcript.pyannote[2906].speaker SPEAKER_29
transcript.pyannote[2906].start 15113.75346875
transcript.pyannote[2906].end 15138.54284375
transcript.pyannote[2907].speaker SPEAKER_44
transcript.pyannote[2907].start 15114.73221875
transcript.pyannote[2907].end 15114.81659375
transcript.pyannote[2908].speaker SPEAKER_44
transcript.pyannote[2908].start 15138.23909375
transcript.pyannote[2908].end 15151.41846875
transcript.pyannote[2909].speaker SPEAKER_29
transcript.pyannote[2909].start 15139.79159375
transcript.pyannote[2909].end 15140.56784375
transcript.pyannote[2910].speaker SPEAKER_14
transcript.pyannote[2910].start 15143.28471875
transcript.pyannote[2910].end 15143.31846875
transcript.pyannote[2911].speaker SPEAKER_24
transcript.pyannote[2911].start 15143.31846875
transcript.pyannote[2911].end 15144.02721875
transcript.pyannote[2912].speaker SPEAKER_29
transcript.pyannote[2912].start 15144.02721875
transcript.pyannote[2912].end 15145.20846875
transcript.pyannote[2913].speaker SPEAKER_29
transcript.pyannote[2913].start 15145.76534375
transcript.pyannote[2913].end 15147.73971875
transcript.pyannote[2914].speaker SPEAKER_29
transcript.pyannote[2914].start 15150.10221875
transcript.pyannote[2914].end 15150.32159375
transcript.pyannote[2915].speaker SPEAKER_29
transcript.pyannote[2915].start 15151.41846875
transcript.pyannote[2915].end 15153.32534375
transcript.pyannote[2916].speaker SPEAKER_44
transcript.pyannote[2916].start 15151.80659375
transcript.pyannote[2916].end 15152.21159375
transcript.pyannote[2917].speaker SPEAKER_44
transcript.pyannote[2917].start 15153.07221875
transcript.pyannote[2917].end 15158.47221875
transcript.pyannote[2918].speaker SPEAKER_44
transcript.pyannote[2918].start 15158.52284375
transcript.pyannote[2918].end 15158.53971875
transcript.pyannote[2919].speaker SPEAKER_29
transcript.pyannote[2919].start 15158.53971875
transcript.pyannote[2919].end 15158.55659375
transcript.pyannote[2920].speaker SPEAKER_24
transcript.pyannote[2920].start 15158.55659375
transcript.pyannote[2920].end 15158.80971875
transcript.pyannote[2921].speaker SPEAKER_44
transcript.pyannote[2921].start 15158.75909375
transcript.pyannote[2921].end 15163.55159375
transcript.pyannote[2922].speaker SPEAKER_44
transcript.pyannote[2922].start 15163.87221875
transcript.pyannote[2922].end 15165.18846875
transcript.pyannote[2923].speaker SPEAKER_44
transcript.pyannote[2923].start 15165.72846875
transcript.pyannote[2923].end 15171.61784375
transcript.pyannote[2924].speaker SPEAKER_44
transcript.pyannote[2924].start 15171.66846875
transcript.pyannote[2924].end 15172.30971875
transcript.pyannote[2925].speaker SPEAKER_44
transcript.pyannote[2925].start 15172.66409375
transcript.pyannote[2925].end 15173.65971875
transcript.pyannote[2926].speaker SPEAKER_44
transcript.pyannote[2926].start 15174.21659375
transcript.pyannote[2926].end 15175.93784375
transcript.pyannote[2927].speaker SPEAKER_25
transcript.pyannote[2927].start 15176.14034375
transcript.pyannote[2927].end 15176.62971875
transcript.pyannote[2928].speaker SPEAKER_44
transcript.pyannote[2928].start 15176.29221875
transcript.pyannote[2928].end 15176.49471875
transcript.pyannote[2929].speaker SPEAKER_44
transcript.pyannote[2929].start 15176.62971875
transcript.pyannote[2929].end 15177.28784375
transcript.pyannote[2930].speaker SPEAKER_25
transcript.pyannote[2930].start 15177.28784375
transcript.pyannote[2930].end 15177.30471875
transcript.pyannote[2931].speaker SPEAKER_25
transcript.pyannote[2931].start 15177.42284375
transcript.pyannote[2931].end 15178.21596875
transcript.pyannote[2932].speaker SPEAKER_13
transcript.pyannote[2932].start 15184.88159375
transcript.pyannote[2932].end 15187.12596875
transcript.pyannote[2933].speaker SPEAKER_45
transcript.pyannote[2933].start 15196.49159375
transcript.pyannote[2933].end 15198.80346875
transcript.pyannote[2934].speaker SPEAKER_13
transcript.pyannote[2934].start 15199.61346875
transcript.pyannote[2934].end 15200.45721875
transcript.pyannote[2935].speaker SPEAKER_13
transcript.pyannote[2935].start 15201.52034375
transcript.pyannote[2935].end 15204.82784375
transcript.pyannote[2936].speaker SPEAKER_13
transcript.pyannote[2936].start 15205.09784375
transcript.pyannote[2936].end 15205.35096875
transcript.pyannote[2937].speaker SPEAKER_13
transcript.pyannote[2937].start 15206.93721875
transcript.pyannote[2937].end 15206.97096875
transcript.pyannote[2938].speaker SPEAKER_25
transcript.pyannote[2938].start 15206.97096875
transcript.pyannote[2938].end 15207.35909375
transcript.pyannote[2939].speaker SPEAKER_45
transcript.pyannote[2939].start 15207.71346875
transcript.pyannote[2939].end 15209.68784375
transcript.pyannote[2940].speaker SPEAKER_45
transcript.pyannote[2940].start 15210.88596875
transcript.pyannote[2940].end 15212.03346875
transcript.pyannote[2941].speaker SPEAKER_47
transcript.pyannote[2941].start 15212.03346875
transcript.pyannote[2941].end 15223.06971875
transcript.pyannote[2942].speaker SPEAKER_47
transcript.pyannote[2942].start 15223.32284375
transcript.pyannote[2942].end 15225.29721875
transcript.pyannote[2943].speaker SPEAKER_47
transcript.pyannote[2943].start 15225.56721875
transcript.pyannote[2943].end 15236.48534375
transcript.pyannote[2944].speaker SPEAKER_25
transcript.pyannote[2944].start 15234.32534375
transcript.pyannote[2944].end 15234.74721875
transcript.pyannote[2945].speaker SPEAKER_25
transcript.pyannote[2945].start 15234.81471875
transcript.pyannote[2945].end 15234.89909375
transcript.pyannote[2946].speaker SPEAKER_47
transcript.pyannote[2946].start 15236.77221875
transcript.pyannote[2946].end 15245.69909375
transcript.pyannote[2947].speaker SPEAKER_47
transcript.pyannote[2947].start 15245.76659375
transcript.pyannote[2947].end 15260.59971875
transcript.pyannote[2948].speaker SPEAKER_47
transcript.pyannote[2948].start 15260.93721875
transcript.pyannote[2948].end 15266.70846875
transcript.pyannote[2949].speaker SPEAKER_47
transcript.pyannote[2949].start 15267.14721875
transcript.pyannote[2949].end 15268.71659375
transcript.pyannote[2950].speaker SPEAKER_47
transcript.pyannote[2950].start 15268.96971875
transcript.pyannote[2950].end 15293.60721875
transcript.pyannote[2951].speaker SPEAKER_24
transcript.pyannote[2951].start 15293.33721875
transcript.pyannote[2951].end 15293.38784375
transcript.pyannote[2952].speaker SPEAKER_24
transcript.pyannote[2952].start 15293.60721875
transcript.pyannote[2952].end 15293.84346875
transcript.pyannote[2953].speaker SPEAKER_47
transcript.pyannote[2953].start 15293.70846875
transcript.pyannote[2953].end 15348.51846875
transcript.pyannote[2954].speaker SPEAKER_00
transcript.pyannote[2954].start 15304.69409375
transcript.pyannote[2954].end 15304.96409375
transcript.pyannote[2955].speaker SPEAKER_24
transcript.pyannote[2955].start 15313.19909375
transcript.pyannote[2955].end 15313.67159375
transcript.pyannote[2956].speaker SPEAKER_29
transcript.pyannote[2956].start 15348.94034375
transcript.pyannote[2956].end 15352.61909375
transcript.pyannote[2957].speaker SPEAKER_29
transcript.pyannote[2957].start 15352.82159375
transcript.pyannote[2957].end 15369.19034375
transcript.pyannote[2958].speaker SPEAKER_47
transcript.pyannote[2958].start 15369.19034375
transcript.pyannote[2958].end 15377.29034375
transcript.pyannote[2959].speaker SPEAKER_47
transcript.pyannote[2959].start 15377.44221875
transcript.pyannote[2959].end 15382.77471875
transcript.pyannote[2960].speaker SPEAKER_24
transcript.pyannote[2960].start 15377.61096875
transcript.pyannote[2960].end 15377.69534375
transcript.pyannote[2961].speaker SPEAKER_47
transcript.pyannote[2961].start 15382.82534375
transcript.pyannote[2961].end 15391.27971875
transcript.pyannote[2962].speaker SPEAKER_29
transcript.pyannote[2962].start 15391.56659375
transcript.pyannote[2962].end 15398.21534375
transcript.pyannote[2963].speaker SPEAKER_29
transcript.pyannote[2963].start 15398.38409375
transcript.pyannote[2963].end 15432.47159375
transcript.pyannote[2964].speaker SPEAKER_16
transcript.pyannote[2964].start 15414.17909375
transcript.pyannote[2964].end 15414.58409375
transcript.pyannote[2965].speaker SPEAKER_47
transcript.pyannote[2965].start 15430.85159375
transcript.pyannote[2965].end 15432.15096875
transcript.pyannote[2966].speaker SPEAKER_47
transcript.pyannote[2966].start 15432.47159375
transcript.pyannote[2966].end 15433.39971875
transcript.pyannote[2967].speaker SPEAKER_29
transcript.pyannote[2967].start 15433.41659375
transcript.pyannote[2967].end 15438.91784375
transcript.pyannote[2968].speaker SPEAKER_47
transcript.pyannote[2968].start 15434.22659375
transcript.pyannote[2968].end 15434.51346875
transcript.pyannote[2969].speaker SPEAKER_47
transcript.pyannote[2969].start 15439.22159375
transcript.pyannote[2969].end 15448.57034375
transcript.pyannote[2970].speaker SPEAKER_29
transcript.pyannote[2970].start 15449.70096875
transcript.pyannote[2970].end 15450.03846875
transcript.pyannote[2971].speaker SPEAKER_29
transcript.pyannote[2971].start 15450.40971875
transcript.pyannote[2971].end 15461.20971875
transcript.pyannote[2972].speaker SPEAKER_47
transcript.pyannote[2972].start 15461.34471875
transcript.pyannote[2972].end 15491.16284375
transcript.pyannote[2973].speaker SPEAKER_29
transcript.pyannote[2973].start 15490.25159375
transcript.pyannote[2973].end 15513.26909375
transcript.pyannote[2974].speaker SPEAKER_47
transcript.pyannote[2974].start 15495.58409375
transcript.pyannote[2974].end 15495.93846875
transcript.pyannote[2975].speaker SPEAKER_29
transcript.pyannote[2975].start 15513.69096875
transcript.pyannote[2975].end 15513.87659375
transcript.pyannote[2976].speaker SPEAKER_47
transcript.pyannote[2976].start 15513.87659375
transcript.pyannote[2976].end 15513.96096875
transcript.pyannote[2977].speaker SPEAKER_29
transcript.pyannote[2977].start 15513.96096875
transcript.pyannote[2977].end 15513.97784375
transcript.pyannote[2978].speaker SPEAKER_47
transcript.pyannote[2978].start 15513.97784375
transcript.pyannote[2978].end 15513.99471875
transcript.pyannote[2979].speaker SPEAKER_47
transcript.pyannote[2979].start 15514.21409375
transcript.pyannote[2979].end 15522.85409375
transcript.pyannote[2980].speaker SPEAKER_29
transcript.pyannote[2980].start 15517.48784375
transcript.pyannote[2980].end 15517.99409375
transcript.pyannote[2981].speaker SPEAKER_45
transcript.pyannote[2981].start 15517.99409375
transcript.pyannote[2981].end 15518.04471875
transcript.pyannote[2982].speaker SPEAKER_45
transcript.pyannote[2982].start 15521.23409375
transcript.pyannote[2982].end 15522.48284375
transcript.pyannote[2983].speaker SPEAKER_24
transcript.pyannote[2983].start 15522.48284375
transcript.pyannote[2983].end 15522.49971875
transcript.pyannote[2984].speaker SPEAKER_45
transcript.pyannote[2984].start 15522.49971875
transcript.pyannote[2984].end 15522.53346875
transcript.pyannote[2985].speaker SPEAKER_13
transcript.pyannote[2985].start 15528.15284375
transcript.pyannote[2985].end 15531.34221875
transcript.pyannote[2986].speaker SPEAKER_07
transcript.pyannote[2986].start 15538.14284375
transcript.pyannote[2986].end 15539.91471875
transcript.pyannote[2987].speaker SPEAKER_07
transcript.pyannote[2987].start 15540.26909375
transcript.pyannote[2987].end 15541.09596875
transcript.pyannote[2988].speaker SPEAKER_27
transcript.pyannote[2988].start 15546.46221875
transcript.pyannote[2988].end 15546.90096875
transcript.pyannote[2989].speaker SPEAKER_27
transcript.pyannote[2989].start 15547.52534375
transcript.pyannote[2989].end 15573.83346875
transcript.pyannote[2990].speaker SPEAKER_29
transcript.pyannote[2990].start 15573.90096875
transcript.pyannote[2990].end 15585.62909375
transcript.pyannote[2991].speaker SPEAKER_12
transcript.pyannote[2991].start 15585.62909375
transcript.pyannote[2991].end 15585.93284375
transcript.pyannote[2992].speaker SPEAKER_29
transcript.pyannote[2992].start 15585.93284375
transcript.pyannote[2992].end 15593.27346875
transcript.pyannote[2993].speaker SPEAKER_27
transcript.pyannote[2993].start 15592.61534375
transcript.pyannote[2993].end 15598.26846875
transcript.pyannote[2994].speaker SPEAKER_29
transcript.pyannote[2994].start 15597.47534375
transcript.pyannote[2994].end 15608.69721875
transcript.pyannote[2995].speaker SPEAKER_27
transcript.pyannote[2995].start 15601.39034375
transcript.pyannote[2995].end 15601.72784375
transcript.pyannote[2996].speaker SPEAKER_12
transcript.pyannote[2996].start 15608.69721875
transcript.pyannote[2996].end 15608.89971875
transcript.pyannote[2997].speaker SPEAKER_29
transcript.pyannote[2997].start 15608.89971875
transcript.pyannote[2997].end 15632.05221875
transcript.pyannote[2998].speaker SPEAKER_29
transcript.pyannote[2998].start 15633.19971875
transcript.pyannote[2998].end 15633.97596875
transcript.pyannote[2999].speaker SPEAKER_27
transcript.pyannote[2999].start 15633.97596875
transcript.pyannote[2999].end 15642.27846875
transcript.pyannote[3000].speaker SPEAKER_27
transcript.pyannote[3000].start 15642.36284375
transcript.pyannote[3000].end 15651.37409375
transcript.pyannote[3001].speaker SPEAKER_29
transcript.pyannote[3001].start 15652.01534375
transcript.pyannote[3001].end 15677.14221875
transcript.pyannote[3002].speaker SPEAKER_27
transcript.pyannote[3002].start 15654.02346875
transcript.pyannote[3002].end 15654.32721875
transcript.pyannote[3003].speaker SPEAKER_27
transcript.pyannote[3003].start 15666.10596875
transcript.pyannote[3003].end 15667.96221875
transcript.pyannote[3004].speaker SPEAKER_26
transcript.pyannote[3004].start 15667.96221875
transcript.pyannote[3004].end 15668.02971875
transcript.pyannote[3005].speaker SPEAKER_27
transcript.pyannote[3005].start 15668.02971875
transcript.pyannote[3005].end 15668.21534375
transcript.pyannote[3006].speaker SPEAKER_26
transcript.pyannote[3006].start 15668.21534375
transcript.pyannote[3006].end 15668.23221875
transcript.pyannote[3007].speaker SPEAKER_27
transcript.pyannote[3007].start 15677.14221875
transcript.pyannote[3007].end 15677.90159375
transcript.pyannote[3008].speaker SPEAKER_29
transcript.pyannote[3008].start 15677.90159375
transcript.pyannote[3008].end 15677.96909375
transcript.pyannote[3009].speaker SPEAKER_27
transcript.pyannote[3009].start 15677.96909375
transcript.pyannote[3009].end 15698.21909375
transcript.pyannote[3010].speaker SPEAKER_29
transcript.pyannote[3010].start 15690.60846875
transcript.pyannote[3010].end 15691.80659375
transcript.pyannote[3011].speaker SPEAKER_27
transcript.pyannote[3011].start 15698.32034375
transcript.pyannote[3011].end 15725.57346875
transcript.pyannote[3012].speaker SPEAKER_27
transcript.pyannote[3012].start 15726.04596875
transcript.pyannote[3012].end 15742.92096875
transcript.pyannote[3013].speaker SPEAKER_27
transcript.pyannote[3013].start 15743.07284375
transcript.pyannote[3013].end 15744.64221875
transcript.pyannote[3014].speaker SPEAKER_27
transcript.pyannote[3014].start 15744.97971875
transcript.pyannote[3014].end 15747.07221875
transcript.pyannote[3015].speaker SPEAKER_27
transcript.pyannote[3015].start 15747.51096875
transcript.pyannote[3015].end 15758.74971875
transcript.pyannote[3016].speaker SPEAKER_27
transcript.pyannote[3016].start 15758.95221875
transcript.pyannote[3016].end 15762.37784375
transcript.pyannote[3017].speaker SPEAKER_29
transcript.pyannote[3017].start 15762.95159375
transcript.pyannote[3017].end 15773.92034375
transcript.pyannote[3018].speaker SPEAKER_27
transcript.pyannote[3018].start 15772.72221875
transcript.pyannote[3018].end 15783.13409375
transcript.pyannote[3019].speaker SPEAKER_29
transcript.pyannote[3019].start 15774.25784375
transcript.pyannote[3019].end 15774.42659375
transcript.pyannote[3020].speaker SPEAKER_27
transcript.pyannote[3020].start 15783.57284375
transcript.pyannote[3020].end 15791.47034375
transcript.pyannote[3021].speaker SPEAKER_29
transcript.pyannote[3021].start 15790.60971875
transcript.pyannote[3021].end 15791.57159375
transcript.pyannote[3022].speaker SPEAKER_29
transcript.pyannote[3022].start 15791.85846875
transcript.pyannote[3022].end 15801.10596875
transcript.pyannote[3023].speaker SPEAKER_27
transcript.pyannote[3023].start 15801.10596875
transcript.pyannote[3023].end 15801.15659375
transcript.pyannote[3024].speaker SPEAKER_29
transcript.pyannote[3024].start 15801.15659375
transcript.pyannote[3024].end 15801.39284375
transcript.pyannote[3025].speaker SPEAKER_27
transcript.pyannote[3025].start 15801.39284375
transcript.pyannote[3025].end 15801.40971875
transcript.pyannote[3026].speaker SPEAKER_29
transcript.pyannote[3026].start 15801.40971875
transcript.pyannote[3026].end 15801.83159375
transcript.pyannote[3027].speaker SPEAKER_27
transcript.pyannote[3027].start 15801.83159375
transcript.pyannote[3027].end 15804.04221875
transcript.pyannote[3028].speaker SPEAKER_29
transcript.pyannote[3028].start 15802.27034375
transcript.pyannote[3028].end 15802.50659375
transcript.pyannote[3029].speaker SPEAKER_29
transcript.pyannote[3029].start 15803.83971875
transcript.pyannote[3029].end 15809.39159375
transcript.pyannote[3030].speaker SPEAKER_27
transcript.pyannote[3030].start 15807.83909375
transcript.pyannote[3030].end 15808.93596875
transcript.pyannote[3031].speaker SPEAKER_27
transcript.pyannote[3031].start 15809.39159375
transcript.pyannote[3031].end 15823.07721875
transcript.pyannote[3032].speaker SPEAKER_25
transcript.pyannote[3032].start 15822.97596875
transcript.pyannote[3032].end 15823.27971875
transcript.pyannote[3033].speaker SPEAKER_27
transcript.pyannote[3033].start 15823.11096875
transcript.pyannote[3033].end 15835.69971875
transcript.pyannote[3034].speaker SPEAKER_27
transcript.pyannote[3034].start 15836.17221875
transcript.pyannote[3034].end 15837.26909375
transcript.pyannote[3035].speaker SPEAKER_13
transcript.pyannote[3035].start 15843.83346875
transcript.pyannote[3035].end 15844.20471875
transcript.pyannote[3036].speaker SPEAKER_13
transcript.pyannote[3036].start 15845.45346875
transcript.pyannote[3036].end 15850.88721875
transcript.pyannote[3037].speaker SPEAKER_13
transcript.pyannote[3037].start 15851.91659375
transcript.pyannote[3037].end 15854.78534375
transcript.pyannote[3038].speaker SPEAKER_49
transcript.pyannote[3038].start 15860.84346875
transcript.pyannote[3038].end 15861.90659375
transcript.pyannote[3039].speaker SPEAKER_49
transcript.pyannote[3039].start 15862.59846875
transcript.pyannote[3039].end 15864.03284375
transcript.pyannote[3040].speaker SPEAKER_13
transcript.pyannote[3040].start 15864.45471875
transcript.pyannote[3040].end 15865.36596875
transcript.pyannote[3041].speaker SPEAKER_49
transcript.pyannote[3041].start 15864.96096875
transcript.pyannote[3041].end 15866.59784375
transcript.pyannote[3042].speaker SPEAKER_13
transcript.pyannote[3042].start 15866.64846875
transcript.pyannote[3042].end 15868.52159375
transcript.pyannote[3043].speaker SPEAKER_49
transcript.pyannote[3043].start 15874.96784375
transcript.pyannote[3043].end 15876.25034375
transcript.pyannote[3044].speaker SPEAKER_49
transcript.pyannote[3044].start 15877.92096875
transcript.pyannote[3044].end 15878.91659375
transcript.pyannote[3045].speaker SPEAKER_49
transcript.pyannote[3045].start 15880.14846875
transcript.pyannote[3045].end 15881.90346875
transcript.pyannote[3046].speaker SPEAKER_49
transcript.pyannote[3046].start 15883.57409375
transcript.pyannote[3046].end 15886.37534375
transcript.pyannote[3047].speaker SPEAKER_49
transcript.pyannote[3047].start 15887.21909375
transcript.pyannote[3047].end 15889.36221875
transcript.pyannote[3048].speaker SPEAKER_49
transcript.pyannote[3048].start 15890.18909375
transcript.pyannote[3048].end 15891.79221875
transcript.pyannote[3049].speaker SPEAKER_49
transcript.pyannote[3049].start 15892.88909375
transcript.pyannote[3049].end 15895.03221875
transcript.pyannote[3050].speaker SPEAKER_49
transcript.pyannote[3050].start 15896.12909375
transcript.pyannote[3050].end 15896.43284375
transcript.pyannote[3051].speaker SPEAKER_49
transcript.pyannote[3051].start 15896.83784375
transcript.pyannote[3051].end 15899.16659375
transcript.pyannote[3052].speaker SPEAKER_49
transcript.pyannote[3052].start 15899.95971875
transcript.pyannote[3052].end 15900.78659375
transcript.pyannote[3053].speaker SPEAKER_49
transcript.pyannote[3053].start 15901.59659375
transcript.pyannote[3053].end 15903.65534375
transcript.pyannote[3054].speaker SPEAKER_49
transcript.pyannote[3054].start 15904.44846875
transcript.pyannote[3054].end 15906.16971875
transcript.pyannote[3055].speaker SPEAKER_49
transcript.pyannote[3055].start 15906.89534375
transcript.pyannote[3055].end 15908.97096875
transcript.pyannote[3056].speaker SPEAKER_49
transcript.pyannote[3056].start 15909.61221875
transcript.pyannote[3056].end 15910.77659375
transcript.pyannote[3057].speaker SPEAKER_49
transcript.pyannote[3057].start 15911.28284375
transcript.pyannote[3057].end 15912.05909375
transcript.pyannote[3058].speaker SPEAKER_49
transcript.pyannote[3058].start 15912.66659375
transcript.pyannote[3058].end 15913.61159375
transcript.pyannote[3059].speaker SPEAKER_49
transcript.pyannote[3059].start 15915.26534375
transcript.pyannote[3059].end 15916.68284375
transcript.pyannote[3060].speaker SPEAKER_49
transcript.pyannote[3060].start 15916.96971875
transcript.pyannote[3060].end 15918.48846875
transcript.pyannote[3061].speaker SPEAKER_49
transcript.pyannote[3061].start 15919.46721875
transcript.pyannote[3061].end 15920.66534375
transcript.pyannote[3062].speaker SPEAKER_49
transcript.pyannote[3062].start 15921.79596875
transcript.pyannote[3062].end 15923.51721875
transcript.pyannote[3063].speaker SPEAKER_49
transcript.pyannote[3063].start 15924.51284375
transcript.pyannote[3063].end 15926.48721875
transcript.pyannote[3064].speaker SPEAKER_49
transcript.pyannote[3064].start 15927.17909375
transcript.pyannote[3064].end 15928.22534375
transcript.pyannote[3065].speaker SPEAKER_49
transcript.pyannote[3065].start 15929.35596875
transcript.pyannote[3065].end 15929.86221875
transcript.pyannote[3066].speaker SPEAKER_49
transcript.pyannote[3066].start 15931.02659375
transcript.pyannote[3066].end 15931.80284375
transcript.pyannote[3067].speaker SPEAKER_49
transcript.pyannote[3067].start 15931.97159375
transcript.pyannote[3067].end 15933.86159375
transcript.pyannote[3068].speaker SPEAKER_49
transcript.pyannote[3068].start 15934.46909375
transcript.pyannote[3068].end 15936.22409375
transcript.pyannote[3069].speaker SPEAKER_49
transcript.pyannote[3069].start 15936.64596875
transcript.pyannote[3069].end 15939.64971875
transcript.pyannote[3070].speaker SPEAKER_49
transcript.pyannote[3070].start 15939.81846875
transcript.pyannote[3070].end 15941.59034375
transcript.pyannote[3071].speaker SPEAKER_49
transcript.pyannote[3071].start 15942.58596875
transcript.pyannote[3071].end 15943.58159375
transcript.pyannote[3072].speaker SPEAKER_49
transcript.pyannote[3072].start 15944.49284375
transcript.pyannote[3072].end 15946.73721875
transcript.pyannote[3073].speaker SPEAKER_49
transcript.pyannote[3073].start 15947.31096875
transcript.pyannote[3073].end 15948.64409375
transcript.pyannote[3074].speaker SPEAKER_49
transcript.pyannote[3074].start 15949.63971875
transcript.pyannote[3074].end 15952.08659375
transcript.pyannote[3075].speaker SPEAKER_49
transcript.pyannote[3075].start 15952.54221875
transcript.pyannote[3075].end 15955.05659375
transcript.pyannote[3076].speaker SPEAKER_49
transcript.pyannote[3076].start 15955.86659375
transcript.pyannote[3076].end 15958.83659375
transcript.pyannote[3077].speaker SPEAKER_49
transcript.pyannote[3077].start 15959.25846875
transcript.pyannote[3077].end 15960.82784375
transcript.pyannote[3078].speaker SPEAKER_49
transcript.pyannote[3078].start 15961.80659375
transcript.pyannote[3078].end 15963.32534375
transcript.pyannote[3079].speaker SPEAKER_49
transcript.pyannote[3079].start 15963.64596875
transcript.pyannote[3079].end 15965.04659375
transcript.pyannote[3080].speaker SPEAKER_49
transcript.pyannote[3080].start 15965.62034375
transcript.pyannote[3080].end 15967.02096875
transcript.pyannote[3081].speaker SPEAKER_49
transcript.pyannote[3081].start 15968.20221875
transcript.pyannote[3081].end 15969.70409375
transcript.pyannote[3082].speaker SPEAKER_49
transcript.pyannote[3082].start 15970.14284375
transcript.pyannote[3082].end 15972.69096875
transcript.pyannote[3083].speaker SPEAKER_49
transcript.pyannote[3083].start 15973.18034375
transcript.pyannote[3083].end 15974.63159375
transcript.pyannote[3084].speaker SPEAKER_49
transcript.pyannote[3084].start 15975.61034375
transcript.pyannote[3084].end 15977.87159375
transcript.pyannote[3085].speaker SPEAKER_49
transcript.pyannote[3085].start 15978.73221875
transcript.pyannote[3085].end 15980.48721875
transcript.pyannote[3086].speaker SPEAKER_49
transcript.pyannote[3086].start 15981.17909375
transcript.pyannote[3086].end 15981.48284375
transcript.pyannote[3087].speaker SPEAKER_49
transcript.pyannote[3087].start 15981.83721875
transcript.pyannote[3087].end 15982.68096875
transcript.pyannote[3088].speaker SPEAKER_49
transcript.pyannote[3088].start 15983.60909375
transcript.pyannote[3088].end 15984.06471875
transcript.pyannote[3089].speaker SPEAKER_49
transcript.pyannote[3089].start 15984.23346875
transcript.pyannote[3089].end 15985.49909375
transcript.pyannote[3090].speaker SPEAKER_49
transcript.pyannote[3090].start 15986.30909375
transcript.pyannote[3090].end 15988.84034375
transcript.pyannote[3091].speaker SPEAKER_49
transcript.pyannote[3091].start 15989.95409375
transcript.pyannote[3091].end 15992.35034375
transcript.pyannote[3092].speaker SPEAKER_49
transcript.pyannote[3092].start 15992.95784375
transcript.pyannote[3092].end 15995.79284375
transcript.pyannote[3093].speaker SPEAKER_49
transcript.pyannote[3093].start 15996.01221875
transcript.pyannote[3093].end 15998.37471875
transcript.pyannote[3094].speaker SPEAKER_49
transcript.pyannote[3094].start 15999.33659375
transcript.pyannote[3094].end 16000.93971875
transcript.pyannote[3095].speaker SPEAKER_49
transcript.pyannote[3095].start 16002.18846875
transcript.pyannote[3095].end 16004.77034375
transcript.pyannote[3096].speaker SPEAKER_49
transcript.pyannote[3096].start 16009.63034375
transcript.pyannote[3096].end 16011.43596875
transcript.pyannote[3097].speaker SPEAKER_49
transcript.pyannote[3097].start 16012.61721875
transcript.pyannote[3097].end 16013.19096875
transcript.pyannote[3098].speaker SPEAKER_49
transcript.pyannote[3098].start 16014.57471875
transcript.pyannote[3098].end 16015.35096875
transcript.pyannote[3099].speaker SPEAKER_49
transcript.pyannote[3099].start 16015.53659375
transcript.pyannote[3099].end 16016.53221875
transcript.pyannote[3100].speaker SPEAKER_49
transcript.pyannote[3100].start 16018.11846875
transcript.pyannote[3100].end 16019.08034375
transcript.pyannote[3101].speaker SPEAKER_49
transcript.pyannote[3101].start 16019.29971875
transcript.pyannote[3101].end 16020.19409375
transcript.pyannote[3102].speaker SPEAKER_49
transcript.pyannote[3102].start 16020.76784375
transcript.pyannote[3102].end 16022.67471875
transcript.pyannote[3103].speaker SPEAKER_49
transcript.pyannote[3103].start 16023.34971875
transcript.pyannote[3103].end 16025.64471875
transcript.pyannote[3104].speaker SPEAKER_49
transcript.pyannote[3104].start 16026.75846875
transcript.pyannote[3104].end 16028.83409375
transcript.pyannote[3105].speaker SPEAKER_49
transcript.pyannote[3105].start 16030.55534375
transcript.pyannote[3105].end 16031.53409375
transcript.pyannote[3106].speaker SPEAKER_49
transcript.pyannote[3106].start 16032.25971875
transcript.pyannote[3106].end 16037.08596875
transcript.pyannote[3107].speaker SPEAKER_49
transcript.pyannote[3107].start 16037.40659375
transcript.pyannote[3107].end 16040.25846875
transcript.pyannote[3108].speaker SPEAKER_49
transcript.pyannote[3108].start 16040.64659375
transcript.pyannote[3108].end 16043.11034375
transcript.pyannote[3109].speaker SPEAKER_24
transcript.pyannote[3109].start 16043.41409375
transcript.pyannote[3109].end 16043.58284375
transcript.pyannote[3110].speaker SPEAKER_49
transcript.pyannote[3110].start 16043.80221875
transcript.pyannote[3110].end 16045.35471875
transcript.pyannote[3111].speaker SPEAKER_49
transcript.pyannote[3111].start 16046.48534375
transcript.pyannote[3111].end 16047.80159375
transcript.pyannote[3112].speaker SPEAKER_49
transcript.pyannote[3112].start 16048.32471875
transcript.pyannote[3112].end 16049.30346875
transcript.pyannote[3113].speaker SPEAKER_49
transcript.pyannote[3113].start 16049.67471875
transcript.pyannote[3113].end 16050.67034375
transcript.pyannote[3114].speaker SPEAKER_49
transcript.pyannote[3114].start 16051.42971875
transcript.pyannote[3114].end 16052.71221875
transcript.pyannote[3115].speaker SPEAKER_49
transcript.pyannote[3115].start 16053.47159375
transcript.pyannote[3115].end 16054.83846875
transcript.pyannote[3116].speaker SPEAKER_49
transcript.pyannote[3116].start 16055.29409375
transcript.pyannote[3116].end 16057.58909375
transcript.pyannote[3117].speaker SPEAKER_49
transcript.pyannote[3117].start 16057.77471875
transcript.pyannote[3117].end 16059.64784375
transcript.pyannote[3118].speaker SPEAKER_49
transcript.pyannote[3118].start 16060.03596875
transcript.pyannote[3118].end 16062.46596875
transcript.pyannote[3119].speaker SPEAKER_49
transcript.pyannote[3119].start 16062.68534375
transcript.pyannote[3119].end 16064.55846875
transcript.pyannote[3120].speaker SPEAKER_04
transcript.pyannote[3120].start 16062.70221875
transcript.pyannote[3120].end 16066.34721875
transcript.pyannote[3121].speaker SPEAKER_49
transcript.pyannote[3121].start 16065.73971875
transcript.pyannote[3121].end 16066.53284375
transcript.pyannote[3122].speaker SPEAKER_04
transcript.pyannote[3122].start 16066.88721875
transcript.pyannote[3122].end 16071.24096875
transcript.pyannote[3123].speaker SPEAKER_49
transcript.pyannote[3123].start 16073.09721875
transcript.pyannote[3123].end 16075.93221875
transcript.pyannote[3124].speaker SPEAKER_04
transcript.pyannote[3124].start 16073.35034375
transcript.pyannote[3124].end 16074.51471875
transcript.pyannote[3125].speaker SPEAKER_04
transcript.pyannote[3125].start 16076.47221875
transcript.pyannote[3125].end 16079.15534375
transcript.pyannote[3126].speaker SPEAKER_49
transcript.pyannote[3126].start 16077.01221875
transcript.pyannote[3126].end 16082.78346875
transcript.pyannote[3127].speaker SPEAKER_04
transcript.pyannote[3127].start 16079.74596875
transcript.pyannote[3127].end 16083.27284375
transcript.pyannote[3128].speaker SPEAKER_49
transcript.pyannote[3128].start 16083.08721875
transcript.pyannote[3128].end 16084.67346875
transcript.pyannote[3129].speaker SPEAKER_49
transcript.pyannote[3129].start 16084.74096875
transcript.pyannote[3129].end 16088.97659375
transcript.pyannote[3130].speaker SPEAKER_04
transcript.pyannote[3130].start 16085.06159375
transcript.pyannote[3130].end 16085.23034375
transcript.pyannote[3131].speaker SPEAKER_04
transcript.pyannote[3131].start 16085.29784375
transcript.pyannote[3131].end 16085.43284375
transcript.pyannote[3132].speaker SPEAKER_04
transcript.pyannote[3132].start 16085.98971875
transcript.pyannote[3132].end 16086.54659375
transcript.pyannote[3133].speaker SPEAKER_49
transcript.pyannote[3133].start 16089.31409375
transcript.pyannote[3133].end 16093.41471875
transcript.pyannote[3134].speaker SPEAKER_49
transcript.pyannote[3134].start 16093.97159375
transcript.pyannote[3134].end 16096.19909375
transcript.pyannote[3135].speaker SPEAKER_04
transcript.pyannote[3135].start 16096.24971875
transcript.pyannote[3135].end 16110.23909375
transcript.pyannote[3136].speaker SPEAKER_49
transcript.pyannote[3136].start 16097.09346875
transcript.pyannote[3136].end 16098.07221875
transcript.pyannote[3137].speaker SPEAKER_49
transcript.pyannote[3137].start 16108.28159375
transcript.pyannote[3137].end 16108.68659375
transcript.pyannote[3138].speaker SPEAKER_49
transcript.pyannote[3138].start 16109.24346875
transcript.pyannote[3138].end 16111.40346875
transcript.pyannote[3139].speaker SPEAKER_49
transcript.pyannote[3139].start 16112.60159375
transcript.pyannote[3139].end 16114.17096875
transcript.pyannote[3140].speaker SPEAKER_04
transcript.pyannote[3140].start 16114.32284375
transcript.pyannote[3140].end 16116.21284375
transcript.pyannote[3141].speaker SPEAKER_49
transcript.pyannote[3141].start 16115.09909375
transcript.pyannote[3141].end 16116.46596875
transcript.pyannote[3142].speaker SPEAKER_49
transcript.pyannote[3142].start 16116.88784375
transcript.pyannote[3142].end 16117.76534375
transcript.pyannote[3143].speaker SPEAKER_49
transcript.pyannote[3143].start 16118.72721875
transcript.pyannote[3143].end 16120.88721875
transcript.pyannote[3144].speaker SPEAKER_49
transcript.pyannote[3144].start 16121.56221875
transcript.pyannote[3144].end 16125.03846875
transcript.pyannote[3145].speaker SPEAKER_04
transcript.pyannote[3145].start 16125.25784375
transcript.pyannote[3145].end 16129.66221875
transcript.pyannote[3146].speaker SPEAKER_49
transcript.pyannote[3146].start 16128.75096875
transcript.pyannote[3146].end 16133.22284375
transcript.pyannote[3147].speaker SPEAKER_49
transcript.pyannote[3147].start 16133.96534375
transcript.pyannote[3147].end 16136.59784375
transcript.pyannote[3148].speaker SPEAKER_49
transcript.pyannote[3148].start 16136.90159375
transcript.pyannote[3148].end 16138.21784375
transcript.pyannote[3149].speaker SPEAKER_49
transcript.pyannote[3149].start 16139.34846875
transcript.pyannote[3149].end 16141.67721875
transcript.pyannote[3150].speaker SPEAKER_49
transcript.pyannote[3150].start 16142.36909375
transcript.pyannote[3150].end 16146.14909375
transcript.pyannote[3151].speaker SPEAKER_04
transcript.pyannote[3151].start 16146.14909375
transcript.pyannote[3151].end 16155.46409375
transcript.pyannote[3152].speaker SPEAKER_49
transcript.pyannote[3152].start 16146.60471875
transcript.pyannote[3152].end 16147.24596875
transcript.pyannote[3153].speaker SPEAKER_49
transcript.pyannote[3153].start 16147.85346875
transcript.pyannote[3153].end 16148.41034375
transcript.pyannote[3154].speaker SPEAKER_49
transcript.pyannote[3154].start 16149.57471875
transcript.pyannote[3154].end 16150.89096875
transcript.pyannote[3155].speaker SPEAKER_49
transcript.pyannote[3155].start 16155.46409375
transcript.pyannote[3155].end 16155.68346875
transcript.pyannote[3156].speaker SPEAKER_04
transcript.pyannote[3156].start 16155.68346875
transcript.pyannote[3156].end 16155.81846875
transcript.pyannote[3157].speaker SPEAKER_49
transcript.pyannote[3157].start 16155.81846875
transcript.pyannote[3157].end 16155.97034375
transcript.pyannote[3158].speaker SPEAKER_04
transcript.pyannote[3158].start 16156.57784375
transcript.pyannote[3158].end 16156.59471875
transcript.pyannote[3159].speaker SPEAKER_49
transcript.pyannote[3159].start 16156.59471875
transcript.pyannote[3159].end 16161.18471875
transcript.pyannote[3160].speaker SPEAKER_04
transcript.pyannote[3160].start 16157.42159375
transcript.pyannote[3160].end 16159.59846875
transcript.pyannote[3161].speaker SPEAKER_49
transcript.pyannote[3161].start 16161.48846875
transcript.pyannote[3161].end 16163.42909375
transcript.pyannote[3162].speaker SPEAKER_49
transcript.pyannote[3162].start 16164.03659375
transcript.pyannote[3162].end 16164.40784375
transcript.pyannote[3163].speaker SPEAKER_49
transcript.pyannote[3163].start 16164.98159375
transcript.pyannote[3163].end 16167.32721875
transcript.pyannote[3164].speaker SPEAKER_49
transcript.pyannote[3164].start 16167.76596875
transcript.pyannote[3164].end 16169.21721875
transcript.pyannote[3165].speaker SPEAKER_49
transcript.pyannote[3165].start 16169.65596875
transcript.pyannote[3165].end 16171.07346875
transcript.pyannote[3166].speaker SPEAKER_49
transcript.pyannote[3166].start 16171.83284375
transcript.pyannote[3166].end 16172.20409375
transcript.pyannote[3167].speaker SPEAKER_49
transcript.pyannote[3167].start 16172.59221875
transcript.pyannote[3167].end 16174.46534375
transcript.pyannote[3168].speaker SPEAKER_49
transcript.pyannote[3168].start 16175.14034375
transcript.pyannote[3168].end 16175.57909375
transcript.pyannote[3169].speaker SPEAKER_49
transcript.pyannote[3169].start 16177.16534375
transcript.pyannote[3169].end 16178.46471875
transcript.pyannote[3170].speaker SPEAKER_49
transcript.pyannote[3170].start 16179.86534375
transcript.pyannote[3170].end 16182.91971875
transcript.pyannote[3171].speaker SPEAKER_49
transcript.pyannote[3171].start 16184.52284375
transcript.pyannote[3171].end 16186.07534375
transcript.pyannote[3172].speaker SPEAKER_49
transcript.pyannote[3172].start 16188.08346875
transcript.pyannote[3172].end 16188.48846875
transcript.pyannote[3173].speaker SPEAKER_25
transcript.pyannote[3173].start 16188.64034375
transcript.pyannote[3173].end 16188.94409375
transcript.pyannote[3174].speaker SPEAKER_49
transcript.pyannote[3174].start 16189.39971875
transcript.pyannote[3174].end 16192.67346875
transcript.pyannote[3175].speaker SPEAKER_49
transcript.pyannote[3175].start 16193.44971875
transcript.pyannote[3175].end 16197.06096875
transcript.pyannote[3176].speaker SPEAKER_49
transcript.pyannote[3176].start 16197.90471875
transcript.pyannote[3176].end 16200.67221875
transcript.pyannote[3177].speaker SPEAKER_49
transcript.pyannote[3177].start 16202.86596875
transcript.pyannote[3177].end 16205.16096875
transcript.pyannote[3178].speaker SPEAKER_49
transcript.pyannote[3178].start 16205.83596875
transcript.pyannote[3178].end 16207.03409375
transcript.pyannote[3179].speaker SPEAKER_49
transcript.pyannote[3179].start 16208.28284375
transcript.pyannote[3179].end 16209.07596875
transcript.pyannote[3180].speaker SPEAKER_29
transcript.pyannote[3180].start 16209.54846875
transcript.pyannote[3180].end 16211.20221875
transcript.pyannote[3181].speaker SPEAKER_49
transcript.pyannote[3181].start 16210.93221875
transcript.pyannote[3181].end 16211.64096875
transcript.pyannote[3182].speaker SPEAKER_49
transcript.pyannote[3182].start 16212.18096875
transcript.pyannote[3182].end 16214.23971875
transcript.pyannote[3183].speaker SPEAKER_49
transcript.pyannote[3183].start 16214.64471875
transcript.pyannote[3183].end 16216.55159375
transcript.pyannote[3184].speaker SPEAKER_49
transcript.pyannote[3184].start 16216.82159375
transcript.pyannote[3184].end 16219.50471875
transcript.pyannote[3185].speaker SPEAKER_49
transcript.pyannote[3185].start 16220.43284375
transcript.pyannote[3185].end 16222.00221875
transcript.pyannote[3186].speaker SPEAKER_29
transcript.pyannote[3186].start 16220.61846875
transcript.pyannote[3186].end 16223.35221875
transcript.pyannote[3187].speaker SPEAKER_49
transcript.pyannote[3187].start 16223.35221875
transcript.pyannote[3187].end 16224.24659375
transcript.pyannote[3188].speaker SPEAKER_29
transcript.pyannote[3188].start 16223.36909375
transcript.pyannote[3188].end 16224.82034375
transcript.pyannote[3189].speaker SPEAKER_49
transcript.pyannote[3189].start 16224.48284375
transcript.pyannote[3189].end 16226.45721875
transcript.pyannote[3190].speaker SPEAKER_29
transcript.pyannote[3190].start 16225.66409375
transcript.pyannote[3190].end 16226.62596875
transcript.pyannote[3191].speaker SPEAKER_49
transcript.pyannote[3191].start 16226.62596875
transcript.pyannote[3191].end 16228.85346875
transcript.pyannote[3192].speaker SPEAKER_29
transcript.pyannote[3192].start 16227.28409375
transcript.pyannote[3192].end 16239.14721875
transcript.pyannote[3193].speaker SPEAKER_49
transcript.pyannote[3193].start 16230.50721875
transcript.pyannote[3193].end 16231.63784375
transcript.pyannote[3194].speaker SPEAKER_49
transcript.pyannote[3194].start 16238.57346875
transcript.pyannote[3194].end 16241.98221875
transcript.pyannote[3195].speaker SPEAKER_49
transcript.pyannote[3195].start 16242.45471875
transcript.pyannote[3195].end 16248.88409375
transcript.pyannote[3196].speaker SPEAKER_29
transcript.pyannote[3196].start 16247.82096875
transcript.pyannote[3196].end 16251.78659375
transcript.pyannote[3197].speaker SPEAKER_49
transcript.pyannote[3197].start 16250.01471875
transcript.pyannote[3197].end 16254.03096875
transcript.pyannote[3198].speaker SPEAKER_29
transcript.pyannote[3198].start 16252.10721875
transcript.pyannote[3198].end 16252.51221875
transcript.pyannote[3199].speaker SPEAKER_49
transcript.pyannote[3199].start 16254.14909375
transcript.pyannote[3199].end 16256.15721875
transcript.pyannote[3200].speaker SPEAKER_49
transcript.pyannote[3200].start 16256.29221875
transcript.pyannote[3200].end 16257.74346875
transcript.pyannote[3201].speaker SPEAKER_49
transcript.pyannote[3201].start 16258.08096875
transcript.pyannote[3201].end 16259.71784375
transcript.pyannote[3202].speaker SPEAKER_29
transcript.pyannote[3202].start 16258.19909375
transcript.pyannote[3202].end 16259.70096875
transcript.pyannote[3203].speaker SPEAKER_29
transcript.pyannote[3203].start 16259.71784375
transcript.pyannote[3203].end 16261.15221875
transcript.pyannote[3204].speaker SPEAKER_49
transcript.pyannote[3204].start 16261.15221875
transcript.pyannote[3204].end 16261.18596875
transcript.pyannote[3205].speaker SPEAKER_29
transcript.pyannote[3205].start 16261.18596875
transcript.pyannote[3205].end 16261.20284375
transcript.pyannote[3206].speaker SPEAKER_49
transcript.pyannote[3206].start 16261.38846875
transcript.pyannote[3206].end 16261.74284375
transcript.pyannote[3207].speaker SPEAKER_29
transcript.pyannote[3207].start 16261.74284375
transcript.pyannote[3207].end 16261.75971875
transcript.pyannote[3208].speaker SPEAKER_49
transcript.pyannote[3208].start 16261.75971875
transcript.pyannote[3208].end 16261.79346875
transcript.pyannote[3209].speaker SPEAKER_29
transcript.pyannote[3209].start 16261.79346875
transcript.pyannote[3209].end 16261.81034375
transcript.pyannote[3210].speaker SPEAKER_49
transcript.pyannote[3210].start 16261.81034375
transcript.pyannote[3210].end 16261.86096875
transcript.pyannote[3211].speaker SPEAKER_29
transcript.pyannote[3211].start 16261.86096875
transcript.pyannote[3211].end 16262.01284375
transcript.pyannote[3212].speaker SPEAKER_49
transcript.pyannote[3212].start 16262.01284375
transcript.pyannote[3212].end 16263.29534375
transcript.pyannote[3213].speaker SPEAKER_49
transcript.pyannote[3213].start 16263.75096875
transcript.pyannote[3213].end 16264.88159375
transcript.pyannote[3214].speaker SPEAKER_29
transcript.pyannote[3214].start 16264.88159375
transcript.pyannote[3214].end 16269.77534375
transcript.pyannote[3215].speaker SPEAKER_49
transcript.pyannote[3215].start 16266.70409375
transcript.pyannote[3215].end 16267.68284375
transcript.pyannote[3216].speaker SPEAKER_49
transcript.pyannote[3216].start 16269.25221875
transcript.pyannote[3216].end 16273.80846875
transcript.pyannote[3217].speaker SPEAKER_29
transcript.pyannote[3217].start 16275.09096875
transcript.pyannote[3217].end 16278.43221875
transcript.pyannote[3218].speaker SPEAKER_49
transcript.pyannote[3218].start 16279.10721875
transcript.pyannote[3218].end 16281.14909375
transcript.pyannote[3219].speaker SPEAKER_49
transcript.pyannote[3219].start 16281.31784375
transcript.pyannote[3219].end 16282.87034375
transcript.pyannote[3220].speaker SPEAKER_29
transcript.pyannote[3220].start 16281.38534375
transcript.pyannote[3220].end 16285.46909375
transcript.pyannote[3221].speaker SPEAKER_49
transcript.pyannote[3221].start 16287.40971875
transcript.pyannote[3221].end 16294.66596875
transcript.pyannote[3222].speaker SPEAKER_29
transcript.pyannote[3222].start 16292.37096875
transcript.pyannote[3222].end 16307.11971875
transcript.pyannote[3223].speaker SPEAKER_49
transcript.pyannote[3223].start 16306.44471875
transcript.pyannote[3223].end 16307.62596875
transcript.pyannote[3224].speaker SPEAKER_49
transcript.pyannote[3224].start 16307.79471875
transcript.pyannote[3224].end 16310.15721875
transcript.pyannote[3225].speaker SPEAKER_49
transcript.pyannote[3225].start 16310.37659375
transcript.pyannote[3225].end 16316.58659375
transcript.pyannote[3226].speaker SPEAKER_29
transcript.pyannote[3226].start 16312.75596875
transcript.pyannote[3226].end 16313.29596875
transcript.pyannote[3227].speaker SPEAKER_29
transcript.pyannote[3227].start 16316.33346875
transcript.pyannote[3227].end 16320.28221875
transcript.pyannote[3228].speaker SPEAKER_49
transcript.pyannote[3228].start 16320.92346875
transcript.pyannote[3228].end 16321.69971875
transcript.pyannote[3229].speaker SPEAKER_29
transcript.pyannote[3229].start 16322.18909375
transcript.pyannote[3229].end 16326.84659375
transcript.pyannote[3230].speaker SPEAKER_49
transcript.pyannote[3230].start 16323.11721875
transcript.pyannote[3230].end 16324.14659375
transcript.pyannote[3231].speaker SPEAKER_49
transcript.pyannote[3231].start 16325.76659375
transcript.pyannote[3231].end 16326.71159375
transcript.pyannote[3232].speaker SPEAKER_49
transcript.pyannote[3232].start 16326.84659375
transcript.pyannote[3232].end 16326.99846875
transcript.pyannote[3233].speaker SPEAKER_29
transcript.pyannote[3233].start 16326.99846875
transcript.pyannote[3233].end 16327.35284375
transcript.pyannote[3234].speaker SPEAKER_49
transcript.pyannote[3234].start 16327.35284375
transcript.pyannote[3234].end 16327.43721875
transcript.pyannote[3235].speaker SPEAKER_29
transcript.pyannote[3235].start 16327.43721875
transcript.pyannote[3235].end 16327.52159375
transcript.pyannote[3236].speaker SPEAKER_49
transcript.pyannote[3236].start 16327.52159375
transcript.pyannote[3236].end 16327.69034375
transcript.pyannote[3237].speaker SPEAKER_29
transcript.pyannote[3237].start 16327.69034375
transcript.pyannote[3237].end 16327.75784375
transcript.pyannote[3238].speaker SPEAKER_49
transcript.pyannote[3238].start 16327.75784375
transcript.pyannote[3238].end 16327.92659375
transcript.pyannote[3239].speaker SPEAKER_29
transcript.pyannote[3239].start 16327.92659375
transcript.pyannote[3239].end 16330.89659375
transcript.pyannote[3240].speaker SPEAKER_49
transcript.pyannote[3240].start 16331.63909375
transcript.pyannote[3240].end 16342.15221875
transcript.pyannote[3241].speaker SPEAKER_29
transcript.pyannote[3241].start 16342.35471875
transcript.pyannote[3241].end 16342.65846875
transcript.pyannote[3242].speaker SPEAKER_49
transcript.pyannote[3242].start 16342.65846875
transcript.pyannote[3242].end 16343.67096875
transcript.pyannote[3243].speaker SPEAKER_29
transcript.pyannote[3243].start 16342.67534375
transcript.pyannote[3243].end 16344.68346875
transcript.pyannote[3244].speaker SPEAKER_49
transcript.pyannote[3244].start 16344.68346875
transcript.pyannote[3244].end 16347.36659375
transcript.pyannote[3245].speaker SPEAKER_49
transcript.pyannote[3245].start 16347.68721875
transcript.pyannote[3245].end 16352.58096875
transcript.pyannote[3246].speaker SPEAKER_29
transcript.pyannote[3246].start 16353.72846875
transcript.pyannote[3246].end 16358.30159375
transcript.pyannote[3247].speaker SPEAKER_49
transcript.pyannote[3247].start 16358.28471875
transcript.pyannote[3247].end 16361.20409375
transcript.pyannote[3248].speaker SPEAKER_49
transcript.pyannote[3248].start 16361.67659375
transcript.pyannote[3248].end 16364.49471875
transcript.pyannote[3249].speaker SPEAKER_49
transcript.pyannote[3249].start 16365.11909375
transcript.pyannote[3249].end 16367.09346875
transcript.pyannote[3250].speaker SPEAKER_49
transcript.pyannote[3250].start 16367.66721875
transcript.pyannote[3250].end 16369.52346875
transcript.pyannote[3251].speaker SPEAKER_49
transcript.pyannote[3251].start 16370.01284375
transcript.pyannote[3251].end 16372.13909375
transcript.pyannote[3252].speaker SPEAKER_49
transcript.pyannote[3252].start 16372.56096875
transcript.pyannote[3252].end 16375.02471875
transcript.pyannote[3253].speaker SPEAKER_49
transcript.pyannote[3253].start 16375.51409375
transcript.pyannote[3253].end 16376.56034375
transcript.pyannote[3254].speaker SPEAKER_49
transcript.pyannote[3254].start 16376.93159375
transcript.pyannote[3254].end 16381.33596875
transcript.pyannote[3255].speaker SPEAKER_49
transcript.pyannote[3255].start 16382.28096875
transcript.pyannote[3255].end 16383.96846875
transcript.pyannote[3256].speaker SPEAKER_49
transcript.pyannote[3256].start 16384.32284375
transcript.pyannote[3256].end 16389.41909375
transcript.pyannote[3257].speaker SPEAKER_49
transcript.pyannote[3257].start 16389.82409375
transcript.pyannote[3257].end 16391.47784375
transcript.pyannote[3258].speaker SPEAKER_49
transcript.pyannote[3258].start 16391.96721875
transcript.pyannote[3258].end 16394.11034375
transcript.pyannote[3259].speaker SPEAKER_49
transcript.pyannote[3259].start 16394.46471875
transcript.pyannote[3259].end 16396.05096875
transcript.pyannote[3260].speaker SPEAKER_49
transcript.pyannote[3260].start 16396.82721875
transcript.pyannote[3260].end 16397.99159375
transcript.pyannote[3261].speaker SPEAKER_49
transcript.pyannote[3261].start 16398.27846875
transcript.pyannote[3261].end 16400.06721875
transcript.pyannote[3262].speaker SPEAKER_49
transcript.pyannote[3262].start 16400.87721875
transcript.pyannote[3262].end 16402.93596875
transcript.pyannote[3263].speaker SPEAKER_49
transcript.pyannote[3263].start 16403.50971875
transcript.pyannote[3263].end 16407.01971875
transcript.pyannote[3264].speaker SPEAKER_49
transcript.pyannote[3264].start 16407.71159375
transcript.pyannote[3264].end 16409.34846875
transcript.pyannote[3265].speaker SPEAKER_49
transcript.pyannote[3265].start 16409.56784375
transcript.pyannote[3265].end 16410.42846875
transcript.pyannote[3266].speaker SPEAKER_49
transcript.pyannote[3266].start 16411.39034375
transcript.pyannote[3266].end 16412.06534375
transcript.pyannote[3267].speaker SPEAKER_49
transcript.pyannote[3267].start 16412.52096875
transcript.pyannote[3267].end 16414.09034375
transcript.pyannote[3268].speaker SPEAKER_49
transcript.pyannote[3268].start 16415.33909375
transcript.pyannote[3268].end 16415.82846875
transcript.pyannote[3269].speaker SPEAKER_49
transcript.pyannote[3269].start 16416.50346875
transcript.pyannote[3269].end 16418.83221875
transcript.pyannote[3270].speaker SPEAKER_49
transcript.pyannote[3270].start 16419.18659375
transcript.pyannote[3270].end 16421.27909375
transcript.pyannote[3271].speaker SPEAKER_49
transcript.pyannote[3271].start 16421.58284375
transcript.pyannote[3271].end 16423.62471875
transcript.pyannote[3272].speaker SPEAKER_49
transcript.pyannote[3272].start 16424.50221875
transcript.pyannote[3272].end 16425.43034375
transcript.pyannote[3273].speaker SPEAKER_29
transcript.pyannote[3273].start 16425.56534375
transcript.pyannote[3273].end 16427.05034375
transcript.pyannote[3274].speaker SPEAKER_49
transcript.pyannote[3274].start 16427.23596875
transcript.pyannote[3274].end 16427.59034375
transcript.pyannote[3275].speaker SPEAKER_29
transcript.pyannote[3275].start 16427.82659375
transcript.pyannote[3275].end 16431.31971875
transcript.pyannote[3276].speaker SPEAKER_49
transcript.pyannote[3276].start 16429.46346875
transcript.pyannote[3276].end 16433.80034375
transcript.pyannote[3277].speaker SPEAKER_49
transcript.pyannote[3277].start 16434.07034375
transcript.pyannote[3277].end 16435.87596875
transcript.pyannote[3278].speaker SPEAKER_49
transcript.pyannote[3278].start 16436.53409375
transcript.pyannote[3278].end 16439.26784375
transcript.pyannote[3279].speaker SPEAKER_49
transcript.pyannote[3279].start 16440.06096875
transcript.pyannote[3279].end 16441.22534375
transcript.pyannote[3280].speaker SPEAKER_25
transcript.pyannote[3280].start 16440.65159375
transcript.pyannote[3280].end 16441.12409375
transcript.pyannote[3281].speaker SPEAKER_25
transcript.pyannote[3281].start 16441.22534375
transcript.pyannote[3281].end 16442.03534375
transcript.pyannote[3282].speaker SPEAKER_49
transcript.pyannote[3282].start 16442.74409375
transcript.pyannote[3282].end 16447.89096875
transcript.pyannote[3283].speaker SPEAKER_49
transcript.pyannote[3283].start 16448.44784375
transcript.pyannote[3283].end 16450.15221875
transcript.pyannote[3284].speaker SPEAKER_49
transcript.pyannote[3284].start 16451.01284375
transcript.pyannote[3284].end 16453.81409375
transcript.pyannote[3285].speaker SPEAKER_11
transcript.pyannote[3285].start 16465.98096875
transcript.pyannote[3285].end 16470.50346875
transcript.pyannote[3286].speaker SPEAKER_11
transcript.pyannote[3286].start 16470.80721875
transcript.pyannote[3286].end 16474.06409375
transcript.pyannote[3287].speaker SPEAKER_23
transcript.pyannote[3287].start 16480.51034375
transcript.pyannote[3287].end 16482.58596875
transcript.pyannote[3288].speaker SPEAKER_11
transcript.pyannote[3288].start 16483.09221875
transcript.pyannote[3288].end 16483.85159375
transcript.pyannote[3289].speaker SPEAKER_23
transcript.pyannote[3289].start 16489.74096875
transcript.pyannote[3289].end 16504.55721875
transcript.pyannote[3290].speaker SPEAKER_00
transcript.pyannote[3290].start 16495.36034375
transcript.pyannote[3290].end 16495.74846875
transcript.pyannote[3291].speaker SPEAKER_23
transcript.pyannote[3291].start 16504.81034375
transcript.pyannote[3291].end 16531.74284375
transcript.pyannote[3292].speaker SPEAKER_00
transcript.pyannote[3292].start 16519.03596875
transcript.pyannote[3292].end 16519.23846875
transcript.pyannote[3293].speaker SPEAKER_24
transcript.pyannote[3293].start 16519.23846875
transcript.pyannote[3293].end 16519.30596875
transcript.pyannote[3294].speaker SPEAKER_00
transcript.pyannote[3294].start 16519.30596875
transcript.pyannote[3294].end 16519.67721875
transcript.pyannote[3295].speaker SPEAKER_23
transcript.pyannote[3295].start 16532.18159375
transcript.pyannote[3295].end 16537.56471875
transcript.pyannote[3296].speaker SPEAKER_23
transcript.pyannote[3296].start 16537.76721875
transcript.pyannote[3296].end 16541.59784375
transcript.pyannote[3297].speaker SPEAKER_23
transcript.pyannote[3297].start 16542.10409375
transcript.pyannote[3297].end 16544.28096875
transcript.pyannote[3298].speaker SPEAKER_23
transcript.pyannote[3298].start 16544.41596875
transcript.pyannote[3298].end 16545.44534375
transcript.pyannote[3299].speaker SPEAKER_23
transcript.pyannote[3299].start 16546.69409375
transcript.pyannote[3299].end 16561.20659375
transcript.pyannote[3300].speaker SPEAKER_23
transcript.pyannote[3300].start 16561.56096875
transcript.pyannote[3300].end 16562.99534375
transcript.pyannote[3301].speaker SPEAKER_23
transcript.pyannote[3301].start 16563.07971875
transcript.pyannote[3301].end 16571.02784375
transcript.pyannote[3302].speaker SPEAKER_23
transcript.pyannote[3302].start 16571.46659375
transcript.pyannote[3302].end 16582.35096875
transcript.pyannote[3303].speaker SPEAKER_23
transcript.pyannote[3303].start 16583.44784375
transcript.pyannote[3303].end 16593.04971875
transcript.pyannote[3304].speaker SPEAKER_23
transcript.pyannote[3304].start 16593.96096875
transcript.pyannote[3304].end 16622.69909375
transcript.pyannote[3305].speaker SPEAKER_23
transcript.pyannote[3305].start 16623.34034375
transcript.pyannote[3305].end 16645.17659375
transcript.pyannote[3306].speaker SPEAKER_29
transcript.pyannote[3306].start 16646.18909375
transcript.pyannote[3306].end 16647.58971875
transcript.pyannote[3307].speaker SPEAKER_23
transcript.pyannote[3307].start 16647.64034375
transcript.pyannote[3307].end 16663.04721875
transcript.pyannote[3308].speaker SPEAKER_23
transcript.pyannote[3308].start 16663.46909375
transcript.pyannote[3308].end 16666.86096875
transcript.pyannote[3309].speaker SPEAKER_23
transcript.pyannote[3309].start 16667.19846875
transcript.pyannote[3309].end 16673.72909375
transcript.pyannote[3310].speaker SPEAKER_23
transcript.pyannote[3310].start 16674.35346875
transcript.pyannote[3310].end 16682.04846875
transcript.pyannote[3311].speaker SPEAKER_29
transcript.pyannote[3311].start 16677.76221875
transcript.pyannote[3311].end 16679.11221875
transcript.pyannote[3312].speaker SPEAKER_29
transcript.pyannote[3312].start 16681.08659375
transcript.pyannote[3312].end 16686.41909375
transcript.pyannote[3313].speaker SPEAKER_23
transcript.pyannote[3313].start 16683.88784375
transcript.pyannote[3313].end 16684.69784375
transcript.pyannote[3314].speaker SPEAKER_23
transcript.pyannote[3314].start 16685.62596875
transcript.pyannote[3314].end 16692.30846875
transcript.pyannote[3315].speaker SPEAKER_23
transcript.pyannote[3315].start 16692.88221875
transcript.pyannote[3315].end 16693.67534375
transcript.pyannote[3316].speaker SPEAKER_23
transcript.pyannote[3316].start 16693.72596875
transcript.pyannote[3316].end 16706.34846875
transcript.pyannote[3317].speaker SPEAKER_29
transcript.pyannote[3317].start 16704.99846875
transcript.pyannote[3317].end 16714.54971875
transcript.pyannote[3318].speaker SPEAKER_23
transcript.pyannote[3318].start 16707.95159375
transcript.pyannote[3318].end 16708.28909375
transcript.pyannote[3319].speaker SPEAKER_23
transcript.pyannote[3319].start 16715.22471875
transcript.pyannote[3319].end 16720.20284375
transcript.pyannote[3320].speaker SPEAKER_23
transcript.pyannote[3320].start 16720.43909375
transcript.pyannote[3320].end 16725.58596875
transcript.pyannote[3321].speaker SPEAKER_29
transcript.pyannote[3321].start 16721.21534375
transcript.pyannote[3321].end 16721.97471875
transcript.pyannote[3322].speaker SPEAKER_24
transcript.pyannote[3322].start 16721.97471875
transcript.pyannote[3322].end 16722.48096875
transcript.pyannote[3323].speaker SPEAKER_23
transcript.pyannote[3323].start 16725.68721875
transcript.pyannote[3323].end 16728.53909375
transcript.pyannote[3324].speaker SPEAKER_23
transcript.pyannote[3324].start 16728.89346875
transcript.pyannote[3324].end 16749.14346875
transcript.pyannote[3325].speaker SPEAKER_23
transcript.pyannote[3325].start 16749.63284375
transcript.pyannote[3325].end 16754.27346875
transcript.pyannote[3326].speaker SPEAKER_23
transcript.pyannote[3326].start 16754.40846875
transcript.pyannote[3326].end 16769.76471875
transcript.pyannote[3327].speaker SPEAKER_23
transcript.pyannote[3327].start 16770.00096875
transcript.pyannote[3327].end 16772.68409375
transcript.pyannote[3328].speaker SPEAKER_23
transcript.pyannote[3328].start 16772.88659375
transcript.pyannote[3328].end 16787.73659375
transcript.pyannote[3329].speaker SPEAKER_24
transcript.pyannote[3329].start 16787.97284375
transcript.pyannote[3329].end 16788.29346875
transcript.pyannote[3330].speaker SPEAKER_23
transcript.pyannote[3330].start 16788.66471875
transcript.pyannote[3330].end 16799.97096875
transcript.pyannote[3331].speaker SPEAKER_23
transcript.pyannote[3331].start 16800.20721875
transcript.pyannote[3331].end 16805.06721875
transcript.pyannote[3332].speaker SPEAKER_23
transcript.pyannote[3332].start 16805.23596875
transcript.pyannote[3332].end 16826.88659375
transcript.pyannote[3333].speaker SPEAKER_00
transcript.pyannote[3333].start 16818.02721875
transcript.pyannote[3333].end 16818.26346875
transcript.pyannote[3334].speaker SPEAKER_00
transcript.pyannote[3334].start 16818.83721875
transcript.pyannote[3334].end 16820.05221875
transcript.pyannote[3335].speaker SPEAKER_00
transcript.pyannote[3335].start 16820.79471875
transcript.pyannote[3335].end 16821.70596875
transcript.pyannote[3336].speaker SPEAKER_00
transcript.pyannote[3336].start 16821.82409375
transcript.pyannote[3336].end 16821.92534375
transcript.pyannote[3337].speaker SPEAKER_23
transcript.pyannote[3337].start 16827.59534375
transcript.pyannote[3337].end 16836.82596875
transcript.pyannote[3338].speaker SPEAKER_23
transcript.pyannote[3338].start 16836.94409375
transcript.pyannote[3338].end 16843.57596875
transcript.pyannote[3339].speaker SPEAKER_23
transcript.pyannote[3339].start 16843.72784375
transcript.pyannote[3339].end 16848.14909375
transcript.pyannote[3340].speaker SPEAKER_23
transcript.pyannote[3340].start 16848.57096875
transcript.pyannote[3340].end 16862.05409375
transcript.pyannote[3341].speaker SPEAKER_25
transcript.pyannote[3341].start 16861.42971875
transcript.pyannote[3341].end 16861.98659375
transcript.pyannote[3342].speaker SPEAKER_25
transcript.pyannote[3342].start 16862.05409375
transcript.pyannote[3342].end 16862.54346875
transcript.pyannote[3343].speaker SPEAKER_11
transcript.pyannote[3343].start 16870.18784375
transcript.pyannote[3343].end 16870.20471875
transcript.pyannote[3344].speaker SPEAKER_13
transcript.pyannote[3344].start 16870.20471875
transcript.pyannote[3344].end 16871.03159375
transcript.pyannote[3345].speaker SPEAKER_11
transcript.pyannote[3345].start 16871.89221875
transcript.pyannote[3345].end 16871.90909375
transcript.pyannote[3346].speaker SPEAKER_13
transcript.pyannote[3346].start 16871.90909375
transcript.pyannote[3346].end 16880.43096875
transcript.pyannote[3347].speaker SPEAKER_22
transcript.pyannote[3347].start 16891.33221875
transcript.pyannote[3347].end 16891.56846875
transcript.pyannote[3348].speaker SPEAKER_22
transcript.pyannote[3348].start 16892.19284375
transcript.pyannote[3348].end 16894.53846875
transcript.pyannote[3349].speaker SPEAKER_22
transcript.pyannote[3349].start 16895.80409375
transcript.pyannote[3349].end 16898.48721875
transcript.pyannote[3350].speaker SPEAKER_36
transcript.pyannote[3350].start 16898.89221875
transcript.pyannote[3350].end 16899.87096875
transcript.pyannote[3351].speaker SPEAKER_24
transcript.pyannote[3351].start 16905.33846875
transcript.pyannote[3351].end 16905.64221875
transcript.pyannote[3352].speaker SPEAKER_22
transcript.pyannote[3352].start 16905.42284375
transcript.pyannote[3352].end 16913.28659375
transcript.pyannote[3353].speaker SPEAKER_22
transcript.pyannote[3353].start 16913.57346875
transcript.pyannote[3353].end 16914.09659375
transcript.pyannote[3354].speaker SPEAKER_22
transcript.pyannote[3354].start 16914.13034375
transcript.pyannote[3354].end 16916.03721875
transcript.pyannote[3355].speaker SPEAKER_22
transcript.pyannote[3355].start 16916.79659375
transcript.pyannote[3355].end 16918.33221875
transcript.pyannote[3356].speaker SPEAKER_22
transcript.pyannote[3356].start 16918.73721875
transcript.pyannote[3356].end 16920.76221875
transcript.pyannote[3357].speaker SPEAKER_22
transcript.pyannote[3357].start 16921.16721875
transcript.pyannote[3357].end 16922.51721875
transcript.pyannote[3358].speaker SPEAKER_22
transcript.pyannote[3358].start 16923.00659375
transcript.pyannote[3358].end 16925.99346875
transcript.pyannote[3359].speaker SPEAKER_22
transcript.pyannote[3359].start 16926.51659375
transcript.pyannote[3359].end 16930.71846875
transcript.pyannote[3360].speaker SPEAKER_22
transcript.pyannote[3360].start 16930.93784375
transcript.pyannote[3360].end 16936.37159375
transcript.pyannote[3361].speaker SPEAKER_22
transcript.pyannote[3361].start 16936.94534375
transcript.pyannote[3361].end 16938.07596875
transcript.pyannote[3362].speaker SPEAKER_22
transcript.pyannote[3362].start 16939.27409375
transcript.pyannote[3362].end 16941.53534375
transcript.pyannote[3363].speaker SPEAKER_22
transcript.pyannote[3363].start 16942.02471875
transcript.pyannote[3363].end 16944.64034375
transcript.pyannote[3364].speaker SPEAKER_22
transcript.pyannote[3364].start 16947.40784375
transcript.pyannote[3364].end 16947.91409375
transcript.pyannote[3365].speaker SPEAKER_22
transcript.pyannote[3365].start 16948.08284375
transcript.pyannote[3365].end 16950.88409375
transcript.pyannote[3366].speaker SPEAKER_25
transcript.pyannote[3366].start 16951.03596875
transcript.pyannote[3366].end 16951.39034375
transcript.pyannote[3367].speaker SPEAKER_22
transcript.pyannote[3367].start 16951.39034375
transcript.pyannote[3367].end 16955.42346875
transcript.pyannote[3368].speaker SPEAKER_22
transcript.pyannote[3368].start 16956.31784375
transcript.pyannote[3368].end 16967.06721875
transcript.pyannote[3369].speaker SPEAKER_22
transcript.pyannote[3369].start 16967.57346875
transcript.pyannote[3369].end 16976.06159375
transcript.pyannote[3370].speaker SPEAKER_00
transcript.pyannote[3370].start 16970.59409375
transcript.pyannote[3370].end 16971.10034375
transcript.pyannote[3371].speaker SPEAKER_22
transcript.pyannote[3371].start 16976.53409375
transcript.pyannote[3371].end 16986.13596875
transcript.pyannote[3372].speaker SPEAKER_22
transcript.pyannote[3372].start 16986.62534375
transcript.pyannote[3372].end 16987.80659375
transcript.pyannote[3373].speaker SPEAKER_22
transcript.pyannote[3373].start 16988.41409375
transcript.pyannote[3373].end 16990.96221875
transcript.pyannote[3374].speaker SPEAKER_29
transcript.pyannote[3374].start 16990.96221875
transcript.pyannote[3374].end 17001.13784375
transcript.pyannote[3375].speaker SPEAKER_22
transcript.pyannote[3375].start 16998.16784375
transcript.pyannote[3375].end 16999.07909375
transcript.pyannote[3376].speaker SPEAKER_22
transcript.pyannote[3376].start 17000.73284375
transcript.pyannote[3376].end 17017.59096875
transcript.pyannote[3377].speaker SPEAKER_29
transcript.pyannote[3377].start 17001.77909375
transcript.pyannote[3377].end 17002.87596875
transcript.pyannote[3378].speaker SPEAKER_22
transcript.pyannote[3378].start 17018.24909375
transcript.pyannote[3378].end 17034.61784375
transcript.pyannote[3379].speaker SPEAKER_22
transcript.pyannote[3379].start 17035.05659375
transcript.pyannote[3379].end 17044.01721875
transcript.pyannote[3380].speaker SPEAKER_24
transcript.pyannote[3380].start 17043.89909375
transcript.pyannote[3380].end 17044.48971875
transcript.pyannote[3381].speaker SPEAKER_22
transcript.pyannote[3381].start 17044.37159375
transcript.pyannote[3381].end 17046.36284375
transcript.pyannote[3382].speaker SPEAKER_22
transcript.pyannote[3382].start 17046.58221875
transcript.pyannote[3382].end 17063.79471875
transcript.pyannote[3383].speaker SPEAKER_25
transcript.pyannote[3383].start 17063.79471875
transcript.pyannote[3383].end 17064.06471875
transcript.pyannote[3384].speaker SPEAKER_22
transcript.pyannote[3384].start 17064.06471875
transcript.pyannote[3384].end 17070.81471875
transcript.pyannote[3385].speaker SPEAKER_25
transcript.pyannote[3385].start 17064.08159375
transcript.pyannote[3385].end 17064.09846875
transcript.pyannote[3386].speaker SPEAKER_22
transcript.pyannote[3386].start 17071.43909375
transcript.pyannote[3386].end 17071.82721875
transcript.pyannote[3387].speaker SPEAKER_22
transcript.pyannote[3387].start 17072.46846875
transcript.pyannote[3387].end 17076.13034375
transcript.pyannote[3388].speaker SPEAKER_22
transcript.pyannote[3388].start 17076.46784375
transcript.pyannote[3388].end 17088.66846875
transcript.pyannote[3389].speaker SPEAKER_29
transcript.pyannote[3389].start 17088.93846875
transcript.pyannote[3389].end 17101.02096875
transcript.pyannote[3390].speaker SPEAKER_22
transcript.pyannote[3390].start 17101.02096875
transcript.pyannote[3390].end 17104.54784375
transcript.pyannote[3391].speaker SPEAKER_29
transcript.pyannote[3391].start 17104.07534375
transcript.pyannote[3391].end 17107.78784375
transcript.pyannote[3392].speaker SPEAKER_22
transcript.pyannote[3392].start 17107.18034375
transcript.pyannote[3392].end 17108.90159375
transcript.pyannote[3393].speaker SPEAKER_22
transcript.pyannote[3393].start 17109.22221875
transcript.pyannote[3393].end 17115.12846875
transcript.pyannote[3394].speaker SPEAKER_22
transcript.pyannote[3394].start 17115.83721875
transcript.pyannote[3394].end 17121.06846875
transcript.pyannote[3395].speaker SPEAKER_22
transcript.pyannote[3395].start 17121.42284375
transcript.pyannote[3395].end 17126.08034375
transcript.pyannote[3396].speaker SPEAKER_22
transcript.pyannote[3396].start 17126.33346875
transcript.pyannote[3396].end 17126.95784375
transcript.pyannote[3397].speaker SPEAKER_22
transcript.pyannote[3397].start 17127.49784375
transcript.pyannote[3397].end 17132.52659375
transcript.pyannote[3398].speaker SPEAKER_22
transcript.pyannote[3398].start 17132.76284375
transcript.pyannote[3398].end 17138.63534375
transcript.pyannote[3399].speaker SPEAKER_25
transcript.pyannote[3399].start 17138.63534375
transcript.pyannote[3399].end 17139.04034375
transcript.pyannote[3400].speaker SPEAKER_22
transcript.pyannote[3400].start 17138.92221875
transcript.pyannote[3400].end 17143.69784375
transcript.pyannote[3401].speaker SPEAKER_25
transcript.pyannote[3401].start 17143.69784375
transcript.pyannote[3401].end 17144.05221875
transcript.pyannote[3402].speaker SPEAKER_22
transcript.pyannote[3402].start 17144.05221875
transcript.pyannote[3402].end 17156.21909375
transcript.pyannote[3403].speaker SPEAKER_25
transcript.pyannote[3403].start 17144.06909375
transcript.pyannote[3403].end 17144.10284375
transcript.pyannote[3404].speaker SPEAKER_22
transcript.pyannote[3404].start 17156.53971875
transcript.pyannote[3404].end 17159.07096875
transcript.pyannote[3405].speaker SPEAKER_22
transcript.pyannote[3405].start 17159.22284375
transcript.pyannote[3405].end 17167.72784375
transcript.pyannote[3406].speaker SPEAKER_22
transcript.pyannote[3406].start 17168.45346875
transcript.pyannote[3406].end 17171.17034375
transcript.pyannote[3407].speaker SPEAKER_22
transcript.pyannote[3407].start 17171.49096875
transcript.pyannote[3407].end 17176.62096875
transcript.pyannote[3408].speaker SPEAKER_22
transcript.pyannote[3408].start 17178.62909375
transcript.pyannote[3408].end 17180.62034375
transcript.pyannote[3409].speaker SPEAKER_29
transcript.pyannote[3409].start 17179.81034375
transcript.pyannote[3409].end 17188.19721875
transcript.pyannote[3410].speaker SPEAKER_22
transcript.pyannote[3410].start 17188.19721875
transcript.pyannote[3410].end 17197.00596875
transcript.pyannote[3411].speaker SPEAKER_22
transcript.pyannote[3411].start 17197.07346875
transcript.pyannote[3411].end 17199.72284375
transcript.pyannote[3412].speaker SPEAKER_29
transcript.pyannote[3412].start 17198.35596875
transcript.pyannote[3412].end 17198.50784375
transcript.pyannote[3413].speaker SPEAKER_13
transcript.pyannote[3413].start 17202.00096875
transcript.pyannote[3413].end 17203.19909375
transcript.pyannote[3414].speaker SPEAKER_13
transcript.pyannote[3414].start 17203.45221875
transcript.pyannote[3414].end 17204.75159375
transcript.pyannote[3415].speaker SPEAKER_13
transcript.pyannote[3415].start 17205.35909375
transcript.pyannote[3415].end 17214.79221875
transcript.pyannote[3416].speaker SPEAKER_13
transcript.pyannote[3416].start 17218.60596875
transcript.pyannote[3416].end 17220.76596875
transcript.pyannote[3417].speaker SPEAKER_07
transcript.pyannote[3417].start 17226.82409375
transcript.pyannote[3417].end 17227.90409375
transcript.pyannote[3418].speaker SPEAKER_07
transcript.pyannote[3418].start 17228.12346875
transcript.pyannote[3418].end 17229.30471875
transcript.pyannote[3419].speaker SPEAKER_07
transcript.pyannote[3419].start 17229.70971875
transcript.pyannote[3419].end 17230.50284375
transcript.pyannote[3420].speaker SPEAKER_07
transcript.pyannote[3420].start 17230.97534375
transcript.pyannote[3420].end 17231.53221875
transcript.pyannote[3421].speaker SPEAKER_26
transcript.pyannote[3421].start 17237.11784375
transcript.pyannote[3421].end 17237.60721875
transcript.pyannote[3422].speaker SPEAKER_08
transcript.pyannote[3422].start 17237.77596875
transcript.pyannote[3422].end 17288.08034375
transcript.pyannote[3423].speaker SPEAKER_29
transcript.pyannote[3423].start 17288.38409375
transcript.pyannote[3423].end 17300.11221875
transcript.pyannote[3424].speaker SPEAKER_08
transcript.pyannote[3424].start 17296.36596875
transcript.pyannote[3424].end 17296.45034375
transcript.pyannote[3425].speaker SPEAKER_08
transcript.pyannote[3425].start 17297.66534375
transcript.pyannote[3425].end 17297.83409375
transcript.pyannote[3426].speaker SPEAKER_08
transcript.pyannote[3426].start 17300.11221875
transcript.pyannote[3426].end 17308.31346875
transcript.pyannote[3427].speaker SPEAKER_29
transcript.pyannote[3427].start 17308.24596875
transcript.pyannote[3427].end 17311.30034375
transcript.pyannote[3428].speaker SPEAKER_19
transcript.pyannote[3428].start 17311.57034375
transcript.pyannote[3428].end 17321.76284375
transcript.pyannote[3429].speaker SPEAKER_08
transcript.pyannote[3429].start 17322.15096875
transcript.pyannote[3429].end 17322.84284375
transcript.pyannote[3430].speaker SPEAKER_08
transcript.pyannote[3430].start 17323.09596875
transcript.pyannote[3430].end 17366.41409375
transcript.pyannote[3431].speaker SPEAKER_29
transcript.pyannote[3431].start 17366.66721875
transcript.pyannote[3431].end 17394.89909375
transcript.pyannote[3432].speaker SPEAKER_08
transcript.pyannote[3432].start 17395.50659375
transcript.pyannote[3432].end 17398.66221875
transcript.pyannote[3433].speaker SPEAKER_08
transcript.pyannote[3433].start 17399.23596875
transcript.pyannote[3433].end 17406.81284375
transcript.pyannote[3434].speaker SPEAKER_24
transcript.pyannote[3434].start 17406.81284375
transcript.pyannote[3434].end 17406.99846875
transcript.pyannote[3435].speaker SPEAKER_08
transcript.pyannote[3435].start 17406.99846875
transcript.pyannote[3435].end 17423.89034375
transcript.pyannote[3436].speaker SPEAKER_24
transcript.pyannote[3436].start 17407.06596875
transcript.pyannote[3436].end 17407.25159375
transcript.pyannote[3437].speaker SPEAKER_24
transcript.pyannote[3437].start 17410.98096875
transcript.pyannote[3437].end 17411.48721875
transcript.pyannote[3438].speaker SPEAKER_29
transcript.pyannote[3438].start 17424.26159375
transcript.pyannote[3438].end 17429.47596875
transcript.pyannote[3439].speaker SPEAKER_08
transcript.pyannote[3439].start 17429.47596875
transcript.pyannote[3439].end 17446.70534375
transcript.pyannote[3440].speaker SPEAKER_29
transcript.pyannote[3440].start 17446.19909375
transcript.pyannote[3440].end 17452.99971875
transcript.pyannote[3441].speaker SPEAKER_29
transcript.pyannote[3441].start 17453.10096875
transcript.pyannote[3441].end 17455.34534375
transcript.pyannote[3442].speaker SPEAKER_08
transcript.pyannote[3442].start 17455.31159375
transcript.pyannote[3442].end 17472.87846875
transcript.pyannote[3443].speaker SPEAKER_29
transcript.pyannote[3443].start 17473.11471875
transcript.pyannote[3443].end 17479.29096875
transcript.pyannote[3444].speaker SPEAKER_08
transcript.pyannote[3444].start 17479.29096875
transcript.pyannote[3444].end 17497.16159375
transcript.pyannote[3445].speaker SPEAKER_29
transcript.pyannote[3445].start 17497.41471875
transcript.pyannote[3445].end 17502.94971875
transcript.pyannote[3446].speaker SPEAKER_29
transcript.pyannote[3446].start 17502.96659375
transcript.pyannote[3446].end 17502.98346875
transcript.pyannote[3447].speaker SPEAKER_12
transcript.pyannote[3447].start 17502.98346875
transcript.pyannote[3447].end 17503.40534375
transcript.pyannote[3448].speaker SPEAKER_12
transcript.pyannote[3448].start 17503.42221875
transcript.pyannote[3448].end 17503.43909375
transcript.pyannote[3449].speaker SPEAKER_29
transcript.pyannote[3449].start 17503.45596875
transcript.pyannote[3449].end 17517.66471875
transcript.pyannote[3450].speaker SPEAKER_08
transcript.pyannote[3450].start 17517.74909375
transcript.pyannote[3450].end 17545.66034375
transcript.pyannote[3451].speaker SPEAKER_29
transcript.pyannote[3451].start 17545.52534375
transcript.pyannote[3451].end 17546.90909375
transcript.pyannote[3452].speaker SPEAKER_08
transcript.pyannote[3452].start 17545.74471875
transcript.pyannote[3452].end 17545.82909375
transcript.pyannote[3453].speaker SPEAKER_29
transcript.pyannote[3453].start 17547.11159375
transcript.pyannote[3453].end 17547.12846875
transcript.pyannote[3454].speaker SPEAKER_08
transcript.pyannote[3454].start 17547.12846875
transcript.pyannote[3454].end 17548.12409375
transcript.pyannote[3455].speaker SPEAKER_29
transcript.pyannote[3455].start 17547.22971875
transcript.pyannote[3455].end 17548.51221875
transcript.pyannote[3456].speaker SPEAKER_13
transcript.pyannote[3456].start 17554.30034375
transcript.pyannote[3456].end 17556.57846875
transcript.pyannote[3457].speaker SPEAKER_08
transcript.pyannote[3457].start 17554.38471875
transcript.pyannote[3457].end 17554.43534375
transcript.pyannote[3458].speaker SPEAKER_13
transcript.pyannote[3458].start 17558.50221875
transcript.pyannote[3458].end 17558.82284375
transcript.pyannote[3459].speaker SPEAKER_28
transcript.pyannote[3459].start 17563.49721875
transcript.pyannote[3459].end 17565.11721875
transcript.pyannote[3460].speaker SPEAKER_28
transcript.pyannote[3460].start 17565.50534375
transcript.pyannote[3460].end 17566.63596875
transcript.pyannote[3461].speaker SPEAKER_28
transcript.pyannote[3461].start 17567.34471875
transcript.pyannote[3461].end 17568.84659375
transcript.pyannote[3462].speaker SPEAKER_28
transcript.pyannote[3462].start 17569.80846875
transcript.pyannote[3462].end 17575.34346875
transcript.pyannote[3463].speaker SPEAKER_28
transcript.pyannote[3463].start 17575.81596875
transcript.pyannote[3463].end 17576.71034375
transcript.pyannote[3464].speaker SPEAKER_28
transcript.pyannote[3464].start 17577.36846875
transcript.pyannote[3464].end 17580.84471875
transcript.pyannote[3465].speaker SPEAKER_28
transcript.pyannote[3465].start 17581.21596875
transcript.pyannote[3465].end 17591.32409375
transcript.pyannote[3466].speaker SPEAKER_28
transcript.pyannote[3466].start 17591.42534375
transcript.pyannote[3466].end 17613.95346875
transcript.pyannote[3467].speaker SPEAKER_36
transcript.pyannote[3467].start 17599.52534375
transcript.pyannote[3467].end 17599.96409375
transcript.pyannote[3468].speaker SPEAKER_00
transcript.pyannote[3468].start 17599.96409375
transcript.pyannote[3468].end 17600.90909375
transcript.pyannote[3469].speaker SPEAKER_28
transcript.pyannote[3469].start 17614.17284375
transcript.pyannote[3469].end 17616.24846875
transcript.pyannote[3470].speaker SPEAKER_28
transcript.pyannote[3470].start 17616.45096875
transcript.pyannote[3470].end 17619.75846875
transcript.pyannote[3471].speaker SPEAKER_13
transcript.pyannote[3471].start 17618.69534375
transcript.pyannote[3471].end 17619.18471875
transcript.pyannote[3472].speaker SPEAKER_28
transcript.pyannote[3472].start 17620.01159375
transcript.pyannote[3472].end 17620.02846875
transcript.pyannote[3473].speaker SPEAKER_13
transcript.pyannote[3473].start 17620.02846875
transcript.pyannote[3473].end 17620.99034375
transcript.pyannote[3474].speaker SPEAKER_28
transcript.pyannote[3474].start 17628.11159375
transcript.pyannote[3474].end 17653.17096875
transcript.pyannote[3475].speaker SPEAKER_28
transcript.pyannote[3475].start 17653.49159375
transcript.pyannote[3475].end 17657.35596875
transcript.pyannote[3476].speaker SPEAKER_28
transcript.pyannote[3476].start 17657.87909375
transcript.pyannote[3476].end 17662.63784375
transcript.pyannote[3477].speaker SPEAKER_37
transcript.pyannote[3477].start 17662.63784375
transcript.pyannote[3477].end 17662.89096875
transcript.pyannote[3478].speaker SPEAKER_28
transcript.pyannote[3478].start 17662.89096875
transcript.pyannote[3478].end 17666.75534375
transcript.pyannote[3479].speaker SPEAKER_28
transcript.pyannote[3479].start 17667.12659375
transcript.pyannote[3479].end 17675.02409375
transcript.pyannote[3480].speaker SPEAKER_28
transcript.pyannote[3480].start 17675.37846875
transcript.pyannote[3480].end 17692.48971875
transcript.pyannote[3481].speaker SPEAKER_28
transcript.pyannote[3481].start 17692.87784375
transcript.pyannote[3481].end 17713.66784375
transcript.pyannote[3482].speaker SPEAKER_28
transcript.pyannote[3482].start 17713.92096875
transcript.pyannote[3482].end 17723.33721875
transcript.pyannote[3483].speaker SPEAKER_28
transcript.pyannote[3483].start 17723.47221875
transcript.pyannote[3483].end 17742.23721875
transcript.pyannote[3484].speaker SPEAKER_28
transcript.pyannote[3484].start 17742.49034375
transcript.pyannote[3484].end 17759.95596875
transcript.pyannote[3485].speaker SPEAKER_28
transcript.pyannote[3485].start 17760.05721875
transcript.pyannote[3485].end 17796.16971875
transcript.pyannote[3486].speaker SPEAKER_28
transcript.pyannote[3486].start 17796.64221875
transcript.pyannote[3486].end 17815.74471875
transcript.pyannote[3487].speaker SPEAKER_28
transcript.pyannote[3487].start 17816.08221875
transcript.pyannote[3487].end 17820.35159375
transcript.pyannote[3488].speaker SPEAKER_28
transcript.pyannote[3488].start 17820.87471875
transcript.pyannote[3488].end 17825.53221875
transcript.pyannote[3489].speaker SPEAKER_28
transcript.pyannote[3489].start 17825.92034375
transcript.pyannote[3489].end 17866.89284375
transcript.pyannote[3490].speaker SPEAKER_35
transcript.pyannote[3490].start 17831.30346875
transcript.pyannote[3490].end 17831.43846875
transcript.pyannote[3491].speaker SPEAKER_00
transcript.pyannote[3491].start 17831.43846875
transcript.pyannote[3491].end 17831.53971875
transcript.pyannote[3492].speaker SPEAKER_00
transcript.pyannote[3492].start 17834.47596875
transcript.pyannote[3492].end 17834.66159375
transcript.pyannote[3493].speaker SPEAKER_24
transcript.pyannote[3493].start 17834.66159375
transcript.pyannote[3493].end 17834.71221875
transcript.pyannote[3494].speaker SPEAKER_00
transcript.pyannote[3494].start 17834.71221875
transcript.pyannote[3494].end 17834.81346875
transcript.pyannote[3495].speaker SPEAKER_24
transcript.pyannote[3495].start 17851.19909375
transcript.pyannote[3495].end 17853.03846875
transcript.pyannote[3496].speaker SPEAKER_28
transcript.pyannote[3496].start 17867.12909375
transcript.pyannote[3496].end 17872.03971875
transcript.pyannote[3497].speaker SPEAKER_16
transcript.pyannote[3497].start 17869.93034375
transcript.pyannote[3497].end 17871.46596875
transcript.pyannote[3498].speaker SPEAKER_28
transcript.pyannote[3498].start 17872.27596875
transcript.pyannote[3498].end 17874.87471875
transcript.pyannote[3499].speaker SPEAKER_28
transcript.pyannote[3499].start 17876.14034375
transcript.pyannote[3499].end 17877.40596875
transcript.pyannote[3500].speaker SPEAKER_28
transcript.pyannote[3500].start 17877.54096875
transcript.pyannote[3500].end 17878.14846875
transcript.pyannote[3501].speaker SPEAKER_28
transcript.pyannote[3501].start 17878.53659375
transcript.pyannote[3501].end 17880.52784375
transcript.pyannote[3502].speaker SPEAKER_28
transcript.pyannote[3502].start 17881.11846875
transcript.pyannote[3502].end 17881.67534375
transcript.pyannote[3503].speaker SPEAKER_28
transcript.pyannote[3503].start 17882.38409375
transcript.pyannote[3503].end 17883.27846875
transcript.pyannote[3504].speaker SPEAKER_28
transcript.pyannote[3504].start 17883.70034375
transcript.pyannote[3504].end 17887.83471875
transcript.pyannote[3505].speaker SPEAKER_28
transcript.pyannote[3505].start 17888.40846875
transcript.pyannote[3505].end 17893.03221875
transcript.pyannote[3506].speaker SPEAKER_28
transcript.pyannote[3506].start 17893.55534375
transcript.pyannote[3506].end 17897.72346875
transcript.pyannote[3507].speaker SPEAKER_05
transcript.pyannote[3507].start 17898.19596875
transcript.pyannote[3507].end 17898.65159375
transcript.pyannote[3508].speaker SPEAKER_28
transcript.pyannote[3508].start 17898.65159375
transcript.pyannote[3508].end 17900.06909375
transcript.pyannote[3509].speaker SPEAKER_28
transcript.pyannote[3509].start 17900.99721875
transcript.pyannote[3509].end 17902.27971875
transcript.pyannote[3510].speaker SPEAKER_28
transcript.pyannote[3510].start 17902.44846875
transcript.pyannote[3510].end 17919.13784375
transcript.pyannote[3511].speaker SPEAKER_05
transcript.pyannote[3511].start 17918.31096875
transcript.pyannote[3511].end 17918.78346875
transcript.pyannote[3512].speaker SPEAKER_28
transcript.pyannote[3512].start 17919.17159375
transcript.pyannote[3512].end 17919.18846875
transcript.pyannote[3513].speaker SPEAKER_05
transcript.pyannote[3513].start 17919.18846875
transcript.pyannote[3513].end 17926.07346875
transcript.pyannote[3514].speaker SPEAKER_28
transcript.pyannote[3514].start 17925.66846875
transcript.pyannote[3514].end 17929.41471875
transcript.pyannote[3515].speaker SPEAKER_05
transcript.pyannote[3515].start 17926.84971875
transcript.pyannote[3515].end 17926.86659375
transcript.pyannote[3516].speaker SPEAKER_05
transcript.pyannote[3516].start 17927.92971875
transcript.pyannote[3516].end 17928.95909375
transcript.pyannote[3517].speaker SPEAKER_05
transcript.pyannote[3517].start 17929.41471875
transcript.pyannote[3517].end 17929.49909375
transcript.pyannote[3518].speaker SPEAKER_28
transcript.pyannote[3518].start 17929.49909375
transcript.pyannote[3518].end 17956.75221875
transcript.pyannote[3519].speaker SPEAKER_05
transcript.pyannote[3519].start 17929.54971875
transcript.pyannote[3519].end 17929.97159375
transcript.pyannote[3520].speaker SPEAKER_42
transcript.pyannote[3520].start 17929.97159375
transcript.pyannote[3520].end 17930.15721875
transcript.pyannote[3521].speaker SPEAKER_05
transcript.pyannote[3521].start 17930.15721875
transcript.pyannote[3521].end 17930.17409375
transcript.pyannote[3522].speaker SPEAKER_42
transcript.pyannote[3522].start 17933.32971875
transcript.pyannote[3522].end 17934.05534375
transcript.pyannote[3523].speaker SPEAKER_28
transcript.pyannote[3523].start 17957.14034375
transcript.pyannote[3523].end 17967.02909375
transcript.pyannote[3524].speaker SPEAKER_24
transcript.pyannote[3524].start 17967.45096875
transcript.pyannote[3524].end 17967.48471875
transcript.pyannote[3525].speaker SPEAKER_28
transcript.pyannote[3525].start 17967.48471875
transcript.pyannote[3525].end 17975.51721875
transcript.pyannote[3526].speaker SPEAKER_28
transcript.pyannote[3526].start 17976.24284375
transcript.pyannote[3526].end 18005.60534375
transcript.pyannote[3527].speaker SPEAKER_05
transcript.pyannote[3527].start 18005.60534375
transcript.pyannote[3527].end 18006.97221875
transcript.pyannote[3528].speaker SPEAKER_28
transcript.pyannote[3528].start 18006.97221875
transcript.pyannote[3528].end 18013.51971875
transcript.pyannote[3529].speaker SPEAKER_05
transcript.pyannote[3529].start 18007.42784375
transcript.pyannote[3529].end 18007.79909375
transcript.pyannote[3530].speaker SPEAKER_28
transcript.pyannote[3530].start 18013.85721875
transcript.pyannote[3530].end 18013.87409375
transcript.pyannote[3531].speaker SPEAKER_05
transcript.pyannote[3531].start 18013.87409375
transcript.pyannote[3531].end 18016.28721875
transcript.pyannote[3532].speaker SPEAKER_28
transcript.pyannote[3532].start 18013.90784375
transcript.pyannote[3532].end 18014.24534375
transcript.pyannote[3533].speaker SPEAKER_28
transcript.pyannote[3533].start 18014.66721875
transcript.pyannote[3533].end 18018.04221875
transcript.pyannote[3534].speaker SPEAKER_05
transcript.pyannote[3534].start 18017.46846875
transcript.pyannote[3534].end 18019.32471875
transcript.pyannote[3535].speaker SPEAKER_28
transcript.pyannote[3535].start 18019.13909375
transcript.pyannote[3535].end 18025.90596875
transcript.pyannote[3536].speaker SPEAKER_28
transcript.pyannote[3536].start 18026.91846875
transcript.pyannote[3536].end 18042.42659375
transcript.pyannote[3537].speaker SPEAKER_28
transcript.pyannote[3537].start 18043.10159375
transcript.pyannote[3537].end 18044.99159375
transcript.pyannote[3538].speaker SPEAKER_26
transcript.pyannote[3538].start 18044.85659375
transcript.pyannote[3538].end 18044.97471875
transcript.pyannote[3539].speaker SPEAKER_26
transcript.pyannote[3539].start 18044.99159375
transcript.pyannote[3539].end 18045.39659375
transcript.pyannote[3540].speaker SPEAKER_28
transcript.pyannote[3540].start 18045.21096875
transcript.pyannote[3540].end 18047.08409375
transcript.pyannote[3541].speaker SPEAKER_28
transcript.pyannote[3541].start 18047.23596875
transcript.pyannote[3541].end 18051.38721875
transcript.pyannote[3542].speaker SPEAKER_49
transcript.pyannote[3542].start 18050.76284375
transcript.pyannote[3542].end 18051.64034375
transcript.pyannote[3543].speaker SPEAKER_24
transcript.pyannote[3543].start 18051.38721875
transcript.pyannote[3543].end 18051.40409375
transcript.pyannote[3544].speaker SPEAKER_24
transcript.pyannote[3544].start 18051.64034375
transcript.pyannote[3544].end 18051.67409375
transcript.pyannote[3545].speaker SPEAKER_49
transcript.pyannote[3545].start 18052.28159375
transcript.pyannote[3545].end 18054.54284375
transcript.pyannote[3546].speaker SPEAKER_49
transcript.pyannote[3546].start 18057.39471875
transcript.pyannote[3546].end 18059.94284375
transcript.pyannote[3547].speaker SPEAKER_49
transcript.pyannote[3547].start 18059.97659375
transcript.pyannote[3547].end 18061.95096875
transcript.pyannote[3548].speaker SPEAKER_49
transcript.pyannote[3548].start 18062.69346875
transcript.pyannote[3548].end 18064.38096875
transcript.pyannote[3549].speaker SPEAKER_46
transcript.pyannote[3549].start 18073.20659375
transcript.pyannote[3549].end 18075.23159375
transcript.pyannote[3550].speaker SPEAKER_49
transcript.pyannote[3550].start 18075.51846875
transcript.pyannote[3550].end 18077.61096875
transcript.pyannote[3551].speaker SPEAKER_49
transcript.pyannote[3551].start 18077.76284375
transcript.pyannote[3551].end 18079.18034375
transcript.pyannote[3552].speaker SPEAKER_46
transcript.pyannote[3552].start 18078.77534375
transcript.pyannote[3552].end 18079.78784375
transcript.pyannote[3553].speaker SPEAKER_49
transcript.pyannote[3553].start 18080.12534375
transcript.pyannote[3553].end 18081.15471875
transcript.pyannote[3554].speaker SPEAKER_26
transcript.pyannote[3554].start 18087.02721875
transcript.pyannote[3554].end 18087.56721875
transcript.pyannote[3555].speaker SPEAKER_46
transcript.pyannote[3555].start 18087.75284375
transcript.pyannote[3555].end 18096.12284375
transcript.pyannote[3556].speaker SPEAKER_46
transcript.pyannote[3556].start 18096.52784375
transcript.pyannote[3556].end 18103.31159375
transcript.pyannote[3557].speaker SPEAKER_46
transcript.pyannote[3557].start 18103.58159375
transcript.pyannote[3557].end 18104.49284375
transcript.pyannote[3558].speaker SPEAKER_46
transcript.pyannote[3558].start 18105.62346875
transcript.pyannote[3558].end 18107.63159375
transcript.pyannote[3559].speaker SPEAKER_46
transcript.pyannote[3559].start 18108.96471875
transcript.pyannote[3559].end 18113.90909375
transcript.pyannote[3560].speaker SPEAKER_46
transcript.pyannote[3560].start 18114.26346875
transcript.pyannote[3560].end 18121.31721875
transcript.pyannote[3561].speaker SPEAKER_46
transcript.pyannote[3561].start 18121.51971875
transcript.pyannote[3561].end 18124.52346875
transcript.pyannote[3562].speaker SPEAKER_46
transcript.pyannote[3562].start 18124.79346875
transcript.pyannote[3562].end 18128.97846875
transcript.pyannote[3563].speaker SPEAKER_46
transcript.pyannote[3563].start 18129.46784375
transcript.pyannote[3563].end 18130.51409375
transcript.pyannote[3564].speaker SPEAKER_46
transcript.pyannote[3564].start 18131.08784375
transcript.pyannote[3564].end 18135.05346875
transcript.pyannote[3565].speaker SPEAKER_46
transcript.pyannote[3565].start 18135.84659375
transcript.pyannote[3565].end 18138.91784375
transcript.pyannote[3566].speaker SPEAKER_46
transcript.pyannote[3566].start 18139.32284375
transcript.pyannote[3566].end 18140.13284375
transcript.pyannote[3567].speaker SPEAKER_46
transcript.pyannote[3567].start 18140.33534375
transcript.pyannote[3567].end 18149.34659375
transcript.pyannote[3568].speaker SPEAKER_46
transcript.pyannote[3568].start 18149.97096875
transcript.pyannote[3568].end 18150.20721875
transcript.pyannote[3569].speaker SPEAKER_46
transcript.pyannote[3569].start 18150.81471875
transcript.pyannote[3569].end 18153.48096875
transcript.pyannote[3570].speaker SPEAKER_46
transcript.pyannote[3570].start 18153.61596875
transcript.pyannote[3570].end 18154.49346875
transcript.pyannote[3571].speaker SPEAKER_46
transcript.pyannote[3571].start 18154.66221875
transcript.pyannote[3571].end 18155.75909375
transcript.pyannote[3572].speaker SPEAKER_46
transcript.pyannote[3572].start 18156.28221875
transcript.pyannote[3572].end 18156.99096875
transcript.pyannote[3573].speaker SPEAKER_46
transcript.pyannote[3573].start 18157.73346875
transcript.pyannote[3573].end 18166.35659375
transcript.pyannote[3574].speaker SPEAKER_46
transcript.pyannote[3574].start 18167.30159375
transcript.pyannote[3574].end 18171.70596875
transcript.pyannote[3575].speaker SPEAKER_29
transcript.pyannote[3575].start 18171.94221875
transcript.pyannote[3575].end 18239.91471875
transcript.pyannote[3576].speaker SPEAKER_00
transcript.pyannote[3576].start 18184.19346875
transcript.pyannote[3576].end 18184.27784375
transcript.pyannote[3577].speaker SPEAKER_00
transcript.pyannote[3577].start 18184.36221875
transcript.pyannote[3577].end 18184.48034375
transcript.pyannote[3578].speaker SPEAKER_29
transcript.pyannote[3578].start 18239.93159375
transcript.pyannote[3578].end 18246.83346875
transcript.pyannote[3579].speaker SPEAKER_46
transcript.pyannote[3579].start 18246.90096875
transcript.pyannote[3579].end 18248.47034375
transcript.pyannote[3580].speaker SPEAKER_46
transcript.pyannote[3580].start 18248.79096875
transcript.pyannote[3580].end 18250.07346875
transcript.pyannote[3581].speaker SPEAKER_29
transcript.pyannote[3581].start 18250.07346875
transcript.pyannote[3581].end 18250.37721875
transcript.pyannote[3582].speaker SPEAKER_46
transcript.pyannote[3582].start 18250.10721875
transcript.pyannote[3582].end 18250.15784375
transcript.pyannote[3583].speaker SPEAKER_46
transcript.pyannote[3583].start 18250.36034375
transcript.pyannote[3583].end 18252.04784375
transcript.pyannote[3584].speaker SPEAKER_46
transcript.pyannote[3584].start 18252.52034375
transcript.pyannote[3584].end 18253.12784375
transcript.pyannote[3585].speaker SPEAKER_46
transcript.pyannote[3585].start 18254.03909375
transcript.pyannote[3585].end 18255.18659375
transcript.pyannote[3586].speaker SPEAKER_46
transcript.pyannote[3586].start 18255.94596875
transcript.pyannote[3586].end 18266.29034375
transcript.pyannote[3587].speaker SPEAKER_24
transcript.pyannote[3587].start 18264.83909375
transcript.pyannote[3587].end 18265.24409375
transcript.pyannote[3588].speaker SPEAKER_24
transcript.pyannote[3588].start 18266.29034375
transcript.pyannote[3588].end 18266.61096875
transcript.pyannote[3589].speaker SPEAKER_46
transcript.pyannote[3589].start 18266.67846875
transcript.pyannote[3589].end 18282.74346875
transcript.pyannote[3590].speaker SPEAKER_24
transcript.pyannote[3590].start 18270.42471875
transcript.pyannote[3590].end 18270.72846875
transcript.pyannote[3591].speaker SPEAKER_24
transcript.pyannote[3591].start 18277.02284375
transcript.pyannote[3591].end 18277.81596875
transcript.pyannote[3592].speaker SPEAKER_24
transcript.pyannote[3592].start 18281.68034375
transcript.pyannote[3592].end 18284.80221875
transcript.pyannote[3593].speaker SPEAKER_46
transcript.pyannote[3593].start 18283.13159375
transcript.pyannote[3593].end 18289.84784375
transcript.pyannote[3594].speaker SPEAKER_46
transcript.pyannote[3594].start 18290.42159375
transcript.pyannote[3594].end 18297.34034375
transcript.pyannote[3595].speaker SPEAKER_29
transcript.pyannote[3595].start 18297.34034375
transcript.pyannote[3595].end 18305.32221875
transcript.pyannote[3596].speaker SPEAKER_46
transcript.pyannote[3596].start 18305.01846875
transcript.pyannote[3596].end 18308.54534375
transcript.pyannote[3597].speaker SPEAKER_46
transcript.pyannote[3597].start 18308.64659375
transcript.pyannote[3597].end 18316.67909375
transcript.pyannote[3598].speaker SPEAKER_29
transcript.pyannote[3598].start 18317.26971875
transcript.pyannote[3598].end 18321.21846875
transcript.pyannote[3599].speaker SPEAKER_19
transcript.pyannote[3599].start 18321.87659375
transcript.pyannote[3599].end 18344.69159375
transcript.pyannote[3600].speaker SPEAKER_46
transcript.pyannote[3600].start 18344.43846875
transcript.pyannote[3600].end 18348.23534375
transcript.pyannote[3601].speaker SPEAKER_19
transcript.pyannote[3601].start 18348.23534375
transcript.pyannote[3601].end 18348.40409375
transcript.pyannote[3602].speaker SPEAKER_46
transcript.pyannote[3602].start 18348.40409375
transcript.pyannote[3602].end 18358.36034375
transcript.pyannote[3603].speaker SPEAKER_46
transcript.pyannote[3603].start 18358.47846875
transcript.pyannote[3603].end 18360.73971875
transcript.pyannote[3604].speaker SPEAKER_24
transcript.pyannote[3604].start 18360.70596875
transcript.pyannote[3604].end 18360.95909375
transcript.pyannote[3605].speaker SPEAKER_46
transcript.pyannote[3605].start 18360.95909375
transcript.pyannote[3605].end 18397.27409375
transcript.pyannote[3606].speaker SPEAKER_46
transcript.pyannote[3606].start 18397.44284375
transcript.pyannote[3606].end 18417.99659375
transcript.pyannote[3607].speaker SPEAKER_29
transcript.pyannote[3607].start 18418.31721875
transcript.pyannote[3607].end 18438.16221875
transcript.pyannote[3608].speaker SPEAKER_46
transcript.pyannote[3608].start 18437.77409375
transcript.pyannote[3608].end 18442.65096875
transcript.pyannote[3609].speaker SPEAKER_46
transcript.pyannote[3609].start 18442.71846875
transcript.pyannote[3609].end 18444.62534375
transcript.pyannote[3610].speaker SPEAKER_46
transcript.pyannote[3610].start 18444.84471875
transcript.pyannote[3610].end 18448.45596875
transcript.pyannote[3611].speaker SPEAKER_24
transcript.pyannote[3611].start 18448.45596875
transcript.pyannote[3611].end 18449.23221875
transcript.pyannote[3612].speaker SPEAKER_46
transcript.pyannote[3612].start 18449.14784375
transcript.pyannote[3612].end 18455.96534375
transcript.pyannote[3613].speaker SPEAKER_24
transcript.pyannote[3613].start 18454.78409375
transcript.pyannote[3613].end 18455.17221875
transcript.pyannote[3614].speaker SPEAKER_29
transcript.pyannote[3614].start 18455.17221875
transcript.pyannote[3614].end 18455.29034375
transcript.pyannote[3615].speaker SPEAKER_24
transcript.pyannote[3615].start 18455.91471875
transcript.pyannote[3615].end 18456.31971875
transcript.pyannote[3616].speaker SPEAKER_46
transcript.pyannote[3616].start 18456.01596875
transcript.pyannote[3616].end 18456.06659375
transcript.pyannote[3617].speaker SPEAKER_46
transcript.pyannote[3617].start 18456.31971875
transcript.pyannote[3617].end 18461.17971875
transcript.pyannote[3618].speaker SPEAKER_29
transcript.pyannote[3618].start 18461.28096875
transcript.pyannote[3618].end 18466.56284375
transcript.pyannote[3619].speaker SPEAKER_46
transcript.pyannote[3619].start 18464.97659375
transcript.pyannote[3619].end 18476.89034375
transcript.pyannote[3620].speaker SPEAKER_29
transcript.pyannote[3620].start 18467.82846875
transcript.pyannote[3620].end 18467.92971875
transcript.pyannote[3621].speaker SPEAKER_29
transcript.pyannote[3621].start 18467.94659375
transcript.pyannote[3621].end 18467.96346875
transcript.pyannote[3622].speaker SPEAKER_29
transcript.pyannote[3622].start 18468.30096875
transcript.pyannote[3622].end 18468.41909375
transcript.pyannote[3623].speaker SPEAKER_29
transcript.pyannote[3623].start 18470.64659375
transcript.pyannote[3623].end 18470.96721875
transcript.pyannote[3624].speaker SPEAKER_24
transcript.pyannote[3624].start 18470.96721875
transcript.pyannote[3624].end 18471.01784375
transcript.pyannote[3625].speaker SPEAKER_29
transcript.pyannote[3625].start 18471.01784375
transcript.pyannote[3625].end 18471.03471875
transcript.pyannote[3626].speaker SPEAKER_46
transcript.pyannote[3626].start 18477.80159375
transcript.pyannote[3626].end 18494.59221875
transcript.pyannote[3627].speaker SPEAKER_46
transcript.pyannote[3627].start 18495.30096875
transcript.pyannote[3627].end 18500.07659375
transcript.pyannote[3628].speaker SPEAKER_46
transcript.pyannote[3628].start 18500.76846875
transcript.pyannote[3628].end 18514.89284375
transcript.pyannote[3629].speaker SPEAKER_35
transcript.pyannote[3629].start 18507.24846875
transcript.pyannote[3629].end 18508.22721875
transcript.pyannote[3630].speaker SPEAKER_24
transcript.pyannote[3630].start 18508.22721875
transcript.pyannote[3630].end 18508.31159375
transcript.pyannote[3631].speaker SPEAKER_35
transcript.pyannote[3631].start 18509.50971875
transcript.pyannote[3631].end 18510.94409375
transcript.pyannote[3632].speaker SPEAKER_24
transcript.pyannote[3632].start 18510.94409375
transcript.pyannote[3632].end 18510.97784375
transcript.pyannote[3633].speaker SPEAKER_29
transcript.pyannote[3633].start 18513.03659375
transcript.pyannote[3633].end 18513.49221875
transcript.pyannote[3634].speaker SPEAKER_46
transcript.pyannote[3634].start 18515.55096875
transcript.pyannote[3634].end 18519.73596875
transcript.pyannote[3635].speaker SPEAKER_29
transcript.pyannote[3635].start 18519.66846875
transcript.pyannote[3635].end 18525.57471875
transcript.pyannote[3636].speaker SPEAKER_46
transcript.pyannote[3636].start 18520.12409375
transcript.pyannote[3636].end 18520.78221875
transcript.pyannote[3637].speaker SPEAKER_46
transcript.pyannote[3637].start 18523.21221875
transcript.pyannote[3637].end 18524.39346875
transcript.pyannote[3638].speaker SPEAKER_46
transcript.pyannote[3638].start 18525.30471875
transcript.pyannote[3638].end 18525.86159375
transcript.pyannote[3639].speaker SPEAKER_46
transcript.pyannote[3639].start 18526.01346875
transcript.pyannote[3639].end 18529.55721875
transcript.pyannote[3640].speaker SPEAKER_29
transcript.pyannote[3640].start 18529.03409375
transcript.pyannote[3640].end 18535.14284375
transcript.pyannote[3641].speaker SPEAKER_46
transcript.pyannote[3641].start 18532.08846875
transcript.pyannote[3641].end 18532.69596875
transcript.pyannote[3642].speaker SPEAKER_46
transcript.pyannote[3642].start 18534.77159375
transcript.pyannote[3642].end 18537.20159375
transcript.pyannote[3643].speaker SPEAKER_46
transcript.pyannote[3643].start 18537.62346875
transcript.pyannote[3643].end 18546.82034375
transcript.pyannote[3644].speaker SPEAKER_29
transcript.pyannote[3644].start 18540.49221875
transcript.pyannote[3644].end 18540.96471875
transcript.pyannote[3645].speaker SPEAKER_25
transcript.pyannote[3645].start 18540.96471875
transcript.pyannote[3645].end 18544.42409375
transcript.pyannote[3646].speaker SPEAKER_25
transcript.pyannote[3646].start 18546.93846875
transcript.pyannote[3646].end 18547.90034375
transcript.pyannote[3647].speaker SPEAKER_46
transcript.pyannote[3647].start 18547.52909375
transcript.pyannote[3647].end 18548.11971875
transcript.pyannote[3648].speaker SPEAKER_25
transcript.pyannote[3648].start 18548.11971875
transcript.pyannote[3648].end 18548.38971875
transcript.pyannote[3649].speaker SPEAKER_25
transcript.pyannote[3649].start 18550.29659375
transcript.pyannote[3649].end 18550.80284375
transcript.pyannote[3650].speaker SPEAKER_13
transcript.pyannote[3650].start 18558.10971875
transcript.pyannote[3650].end 18584.97471875
transcript.pyannote[3651].speaker SPEAKER_13
transcript.pyannote[3651].start 18585.07596875
transcript.pyannote[3651].end 18585.12659375
transcript.pyannote[3652].speaker SPEAKER_13
transcript.pyannote[3652].start 18585.58221875
transcript.pyannote[3652].end 18586.10534375
transcript.pyannote[3653].speaker SPEAKER_13
transcript.pyannote[3653].start 18586.51034375
transcript.pyannote[3653].end 18589.07534375
transcript.pyannote[3654].speaker SPEAKER_10
transcript.pyannote[3654].start 18596.60159375
transcript.pyannote[3654].end 18600.80346875
transcript.pyannote[3655].speaker SPEAKER_36
transcript.pyannote[3655].start 18601.03971875
transcript.pyannote[3655].end 18601.74846875
transcript.pyannote[3656].speaker SPEAKER_10
transcript.pyannote[3656].start 18602.25471875
transcript.pyannote[3656].end 18604.36409375
transcript.pyannote[3657].speaker SPEAKER_10
transcript.pyannote[3657].start 18608.11034375
transcript.pyannote[3657].end 18611.75534375
transcript.pyannote[3658].speaker SPEAKER_10
transcript.pyannote[3658].start 18612.24471875
transcript.pyannote[3658].end 18612.78471875
transcript.pyannote[3659].speaker SPEAKER_10
transcript.pyannote[3659].start 18613.35846875
transcript.pyannote[3659].end 18615.29909375
transcript.pyannote[3660].speaker SPEAKER_05
transcript.pyannote[3660].start 18615.29909375
transcript.pyannote[3660].end 18615.34971875
transcript.pyannote[3661].speaker SPEAKER_05
transcript.pyannote[3661].start 18615.50159375
transcript.pyannote[3661].end 18618.53909375
transcript.pyannote[3662].speaker SPEAKER_10
transcript.pyannote[3662].start 18618.69096875
transcript.pyannote[3662].end 18629.38971875
transcript.pyannote[3663].speaker SPEAKER_05
transcript.pyannote[3663].start 18622.53846875
transcript.pyannote[3663].end 18624.20909375
transcript.pyannote[3664].speaker SPEAKER_05
transcript.pyannote[3664].start 18629.28846875
transcript.pyannote[3664].end 18629.98034375
transcript.pyannote[3665].speaker SPEAKER_10
transcript.pyannote[3665].start 18629.67659375
transcript.pyannote[3665].end 18638.80596875
transcript.pyannote[3666].speaker SPEAKER_16
transcript.pyannote[3666].start 18638.77221875
transcript.pyannote[3666].end 18639.10971875
transcript.pyannote[3667].speaker SPEAKER_10
transcript.pyannote[3667].start 18639.00846875
transcript.pyannote[3667].end 18653.43659375
transcript.pyannote[3668].speaker SPEAKER_05
transcript.pyannote[3668].start 18650.98971875
transcript.pyannote[3668].end 18651.51284375
transcript.pyannote[3669].speaker SPEAKER_05
transcript.pyannote[3669].start 18651.69846875
transcript.pyannote[3669].end 18652.27221875
transcript.pyannote[3670].speaker SPEAKER_10
transcript.pyannote[3670].start 18653.90909375
transcript.pyannote[3670].end 18655.39409375
transcript.pyannote[3671].speaker SPEAKER_10
transcript.pyannote[3671].start 18656.08596875
transcript.pyannote[3671].end 18659.05596875
transcript.pyannote[3672].speaker SPEAKER_05
transcript.pyannote[3672].start 18658.38096875
transcript.pyannote[3672].end 18658.51596875
transcript.pyannote[3673].speaker SPEAKER_05
transcript.pyannote[3673].start 18659.05596875
transcript.pyannote[3673].end 18670.19346875
transcript.pyannote[3674].speaker SPEAKER_10
transcript.pyannote[3674].start 18670.27784375
transcript.pyannote[3674].end 18689.49846875
transcript.pyannote[3675].speaker SPEAKER_05
transcript.pyannote[3675].start 18673.51784375
transcript.pyannote[3675].end 18673.90596875
transcript.pyannote[3676].speaker SPEAKER_10
transcript.pyannote[3676].start 18689.58284375
transcript.pyannote[3676].end 18693.90284375
transcript.pyannote[3677].speaker SPEAKER_24
transcript.pyannote[3677].start 18689.63346875
transcript.pyannote[3677].end 18689.66721875
transcript.pyannote[3678].speaker SPEAKER_05
transcript.pyannote[3678].start 18689.66721875
transcript.pyannote[3678].end 18690.24096875
transcript.pyannote[3679].speaker SPEAKER_05
transcript.pyannote[3679].start 18693.48096875
transcript.pyannote[3679].end 18696.43409375
transcript.pyannote[3680].speaker SPEAKER_10
transcript.pyannote[3680].start 18695.47221875
transcript.pyannote[3680].end 18700.93971875
transcript.pyannote[3681].speaker SPEAKER_05
transcript.pyannote[3681].start 18697.02471875
transcript.pyannote[3681].end 18698.03721875
transcript.pyannote[3682].speaker SPEAKER_05
transcript.pyannote[3682].start 18698.83034375
transcript.pyannote[3682].end 18699.30284375
transcript.pyannote[3683].speaker SPEAKER_05
transcript.pyannote[3683].start 18700.16346875
transcript.pyannote[3683].end 18705.29346875
transcript.pyannote[3684].speaker SPEAKER_05
transcript.pyannote[3684].start 18706.15409375
transcript.pyannote[3684].end 18706.67721875
transcript.pyannote[3685].speaker SPEAKER_05
transcript.pyannote[3685].start 18707.50409375
transcript.pyannote[3685].end 18707.53784375
transcript.pyannote[3686].speaker SPEAKER_10
transcript.pyannote[3686].start 18707.53784375
transcript.pyannote[3686].end 18708.36471875
transcript.pyannote[3687].speaker SPEAKER_05
transcript.pyannote[3687].start 18707.57159375
transcript.pyannote[3687].end 18708.34784375
transcript.pyannote[3688].speaker SPEAKER_05
transcript.pyannote[3688].start 18708.36471875
transcript.pyannote[3688].end 18708.87096875
transcript.pyannote[3689].speaker SPEAKER_10
transcript.pyannote[3689].start 18708.87096875
transcript.pyannote[3689].end 18712.11096875
transcript.pyannote[3690].speaker SPEAKER_10
transcript.pyannote[3690].start 18712.46534375
transcript.pyannote[3690].end 18713.30909375
transcript.pyannote[3691].speaker SPEAKER_13
transcript.pyannote[3691].start 18720.71721875
transcript.pyannote[3691].end 18721.64534375
transcript.pyannote[3692].speaker SPEAKER_10
transcript.pyannote[3692].start 18723.82221875
transcript.pyannote[3692].end 18741.20346875
transcript.pyannote[3693].speaker SPEAKER_24
transcript.pyannote[3693].start 18733.40721875
transcript.pyannote[3693].end 18733.66034375
transcript.pyannote[3694].speaker SPEAKER_24
transcript.pyannote[3694].start 18737.15346875
transcript.pyannote[3694].end 18738.11534375
transcript.pyannote[3695].speaker SPEAKER_24
transcript.pyannote[3695].start 18738.41909375
transcript.pyannote[3695].end 18738.65534375
transcript.pyannote[3696].speaker SPEAKER_24
transcript.pyannote[3696].start 18740.76471875
transcript.pyannote[3696].end 18741.64221875
transcript.pyannote[3697].speaker SPEAKER_10
transcript.pyannote[3697].start 18741.43971875
transcript.pyannote[3697].end 18745.48971875
transcript.pyannote[3698].speaker SPEAKER_10
transcript.pyannote[3698].start 18745.81034375
transcript.pyannote[3698].end 18751.46346875
transcript.pyannote[3699].speaker SPEAKER_24
transcript.pyannote[3699].start 18751.46346875
transcript.pyannote[3699].end 18751.66596875
transcript.pyannote[3700].speaker SPEAKER_10
transcript.pyannote[3700].start 18751.66596875
transcript.pyannote[3700].end 18758.29784375
transcript.pyannote[3701].speaker SPEAKER_24
transcript.pyannote[3701].start 18751.68284375
transcript.pyannote[3701].end 18751.75034375
transcript.pyannote[3702].speaker SPEAKER_25
transcript.pyannote[3702].start 18758.29784375
transcript.pyannote[3702].end 18758.39909375
transcript.pyannote[3703].speaker SPEAKER_10
transcript.pyannote[3703].start 18758.39909375
transcript.pyannote[3703].end 18762.95534375
transcript.pyannote[3704].speaker SPEAKER_29
transcript.pyannote[3704].start 18762.95534375
transcript.pyannote[3704].end 18773.11409375
transcript.pyannote[3705].speaker SPEAKER_10
transcript.pyannote[3705].start 18770.78534375
transcript.pyannote[3705].end 18772.03409375
transcript.pyannote[3706].speaker SPEAKER_10
transcript.pyannote[3706].start 18773.11409375
transcript.pyannote[3706].end 18789.75284375
transcript.pyannote[3707].speaker SPEAKER_24
transcript.pyannote[3707].start 18789.75284375
transcript.pyannote[3707].end 18790.07346875
transcript.pyannote[3708].speaker SPEAKER_10
transcript.pyannote[3708].start 18790.07346875
transcript.pyannote[3708].end 18791.37284375
transcript.pyannote[3709].speaker SPEAKER_10
transcript.pyannote[3709].start 18792.19971875
transcript.pyannote[3709].end 18793.58346875
transcript.pyannote[3710].speaker SPEAKER_10
transcript.pyannote[3710].start 18794.10659375
transcript.pyannote[3710].end 18799.23659375
transcript.pyannote[3711].speaker SPEAKER_10
transcript.pyannote[3711].start 18800.01284375
transcript.pyannote[3711].end 18804.65346875
transcript.pyannote[3712].speaker SPEAKER_24
transcript.pyannote[3712].start 18802.94909375
transcript.pyannote[3712].end 18803.62409375
transcript.pyannote[3713].speaker SPEAKER_24
transcript.pyannote[3713].start 18804.65346875
transcript.pyannote[3713].end 18804.82221875
transcript.pyannote[3714].speaker SPEAKER_10
transcript.pyannote[3714].start 18804.82221875
transcript.pyannote[3714].end 18810.93096875
transcript.pyannote[3715].speaker SPEAKER_10
transcript.pyannote[3715].start 18811.25159375
transcript.pyannote[3715].end 18834.03284375
transcript.pyannote[3716].speaker SPEAKER_29
transcript.pyannote[3716].start 18821.30909375
transcript.pyannote[3716].end 18821.83221875
transcript.pyannote[3717].speaker SPEAKER_24
transcript.pyannote[3717].start 18828.88596875
transcript.pyannote[3717].end 18829.20659375
transcript.pyannote[3718].speaker SPEAKER_24
transcript.pyannote[3718].start 18834.03284375
transcript.pyannote[3718].end 18834.57284375
transcript.pyannote[3719].speaker SPEAKER_10
transcript.pyannote[3719].start 18834.57284375
transcript.pyannote[3719].end 18841.79534375
transcript.pyannote[3720].speaker SPEAKER_10
transcript.pyannote[3720].start 18841.87971875
transcript.pyannote[3720].end 18844.25909375
transcript.pyannote[3721].speaker SPEAKER_10
transcript.pyannote[3721].start 18844.83284375
transcript.pyannote[3721].end 18848.76471875
transcript.pyannote[3722].speaker SPEAKER_10
transcript.pyannote[3722].start 18849.81096875
transcript.pyannote[3722].end 18850.21596875
transcript.pyannote[3723].speaker SPEAKER_06
transcript.pyannote[3723].start 18852.52784375
transcript.pyannote[3723].end 18863.27721875
transcript.pyannote[3724].speaker SPEAKER_10
transcript.pyannote[3724].start 18862.82159375
transcript.pyannote[3724].end 18893.87159375
transcript.pyannote[3725].speaker SPEAKER_29
transcript.pyannote[3725].start 18895.01909375
transcript.pyannote[3725].end 18895.10346875
transcript.pyannote[3726].speaker SPEAKER_12
transcript.pyannote[3726].start 18895.10346875
transcript.pyannote[3726].end 18895.25534375
transcript.pyannote[3727].speaker SPEAKER_29
transcript.pyannote[3727].start 18895.25534375
transcript.pyannote[3727].end 18895.96409375
transcript.pyannote[3728].speaker SPEAKER_10
transcript.pyannote[3728].start 18895.96409375
transcript.pyannote[3728].end 18896.13284375
transcript.pyannote[3729].speaker SPEAKER_06
transcript.pyannote[3729].start 18896.35221875
transcript.pyannote[3729].end 18916.18034375
transcript.pyannote[3730].speaker SPEAKER_10
transcript.pyannote[3730].start 18915.52221875
transcript.pyannote[3730].end 18932.66721875
transcript.pyannote[3731].speaker SPEAKER_06
transcript.pyannote[3731].start 18933.15659375
transcript.pyannote[3731].end 18934.06784375
transcript.pyannote[3732].speaker SPEAKER_06
transcript.pyannote[3732].start 18934.21971875
transcript.pyannote[3732].end 18951.19596875
transcript.pyannote[3733].speaker SPEAKER_10
transcript.pyannote[3733].start 18947.38221875
transcript.pyannote[3733].end 18953.82846875
transcript.pyannote[3734].speaker SPEAKER_06
transcript.pyannote[3734].start 18953.57534375
transcript.pyannote[3734].end 18953.81159375
transcript.pyannote[3735].speaker SPEAKER_06
transcript.pyannote[3735].start 18953.82846875
transcript.pyannote[3735].end 18960.47721875
transcript.pyannote[3736].speaker SPEAKER_10
transcript.pyannote[3736].start 18954.45284375
transcript.pyannote[3736].end 18954.97596875
transcript.pyannote[3737].speaker SPEAKER_10
transcript.pyannote[3737].start 18957.67596875
transcript.pyannote[3737].end 18962.14784375
transcript.pyannote[3738].speaker SPEAKER_10
transcript.pyannote[3738].start 18965.40471875
transcript.pyannote[3738].end 18965.99534375
transcript.pyannote[3739].speaker SPEAKER_10
transcript.pyannote[3739].start 18967.42971875
transcript.pyannote[3739].end 18970.31534375
transcript.pyannote[3740].speaker SPEAKER_06
transcript.pyannote[3740].start 18967.51409375
transcript.pyannote[3740].end 18967.66596875
transcript.pyannote[3741].speaker SPEAKER_06
transcript.pyannote[3741].start 18970.50096875
transcript.pyannote[3741].end 18982.87034375
transcript.pyannote[3742].speaker SPEAKER_10
transcript.pyannote[3742].start 18982.87034375
transcript.pyannote[3742].end 19059.33096875
transcript.pyannote[3743].speaker SPEAKER_06
transcript.pyannote[3743].start 18982.93784375
transcript.pyannote[3743].end 18983.05596875
transcript.pyannote[3744].speaker SPEAKER_06
transcript.pyannote[3744].start 18983.20784375
transcript.pyannote[3744].end 18983.56221875
transcript.pyannote[3745].speaker SPEAKER_14
transcript.pyannote[3745].start 18989.28284375
transcript.pyannote[3745].end 18989.33346875
transcript.pyannote[3746].speaker SPEAKER_24
transcript.pyannote[3746].start 18989.33346875
transcript.pyannote[3746].end 18989.55284375
transcript.pyannote[3747].speaker SPEAKER_29
transcript.pyannote[3747].start 19058.14971875
transcript.pyannote[3747].end 19067.65034375
transcript.pyannote[3748].speaker SPEAKER_10
transcript.pyannote[3748].start 19068.05534375
transcript.pyannote[3748].end 19079.41221875
transcript.pyannote[3749].speaker SPEAKER_29
transcript.pyannote[3749].start 19079.41221875
transcript.pyannote[3749].end 19079.90159375
transcript.pyannote[3750].speaker SPEAKER_10
transcript.pyannote[3750].start 19079.90159375
transcript.pyannote[3750].end 19079.91846875
transcript.pyannote[3751].speaker SPEAKER_29
transcript.pyannote[3751].start 19079.91846875
transcript.pyannote[3751].end 19081.21784375
transcript.pyannote[3752].speaker SPEAKER_13
transcript.pyannote[3752].start 19089.67221875
transcript.pyannote[3752].end 19104.21846875
transcript.pyannote[3753].speaker SPEAKER_13
transcript.pyannote[3753].start 19105.45034375
transcript.pyannote[3753].end 19109.68596875
transcript.pyannote[3754].speaker SPEAKER_13
transcript.pyannote[3754].start 19110.34409375
transcript.pyannote[3754].end 19111.72784375
transcript.pyannote[3755].speaker SPEAKER_13
transcript.pyannote[3755].start 19112.33534375
transcript.pyannote[3755].end 19118.17409375
transcript.pyannote[3756].speaker SPEAKER_13
transcript.pyannote[3756].start 19118.86596875
transcript.pyannote[3756].end 19129.85159375
transcript.pyannote[3757].speaker SPEAKER_13
transcript.pyannote[3757].start 19132.46721875
transcript.pyannote[3757].end 19139.87534375
transcript.pyannote[3758].speaker SPEAKER_01
transcript.pyannote[3758].start 19142.15346875
transcript.pyannote[3758].end 19170.09846875
transcript.pyannote[3759].speaker SPEAKER_01
transcript.pyannote[3759].start 19170.53721875
transcript.pyannote[3759].end 19177.47284375
transcript.pyannote[3760].speaker SPEAKER_01
transcript.pyannote[3760].start 19177.74284375
transcript.pyannote[3760].end 19191.39471875
transcript.pyannote[3761].speaker SPEAKER_01
transcript.pyannote[3761].start 19192.00221875
transcript.pyannote[3761].end 19211.49284375
transcript.pyannote[3762].speaker SPEAKER_01
transcript.pyannote[3762].start 19212.01596875
transcript.pyannote[3762].end 19227.33846875
transcript.pyannote[3763].speaker SPEAKER_01
transcript.pyannote[3763].start 19227.99659375
transcript.pyannote[3763].end 19245.61409375
transcript.pyannote[3764].speaker SPEAKER_01
transcript.pyannote[3764].start 19246.18784375
transcript.pyannote[3764].end 19280.69721875
transcript.pyannote[3765].speaker SPEAKER_01
transcript.pyannote[3765].start 19282.89096875
transcript.pyannote[3765].end 19317.38346875
transcript.pyannote[3766].speaker SPEAKER_13
transcript.pyannote[3766].start 19322.27721875
transcript.pyannote[3766].end 19324.84221875
transcript.pyannote[3767].speaker SPEAKER_13
transcript.pyannote[3767].start 19325.92221875
transcript.pyannote[3767].end 19326.56346875
transcript.pyannote[3768].speaker SPEAKER_13
transcript.pyannote[3768].start 19327.33971875
transcript.pyannote[3768].end 19328.41971875
transcript.pyannote[3769].speaker SPEAKER_49
transcript.pyannote[3769].start 19328.75721875
transcript.pyannote[3769].end 19328.77409375
transcript.pyannote[3770].speaker SPEAKER_13
transcript.pyannote[3770].start 19328.77409375
transcript.pyannote[3770].end 19329.02721875
transcript.pyannote[3771].speaker SPEAKER_49
transcript.pyannote[3771].start 19329.02721875
transcript.pyannote[3771].end 19331.87909375
transcript.pyannote[3772].speaker SPEAKER_49
transcript.pyannote[3772].start 19332.36846875
transcript.pyannote[3772].end 19336.90784375
transcript.pyannote[3773].speaker SPEAKER_13
transcript.pyannote[3773].start 19335.01784375
transcript.pyannote[3773].end 19335.03471875
transcript.pyannote[3774].speaker SPEAKER_42
transcript.pyannote[3774].start 19335.03471875
transcript.pyannote[3774].end 19336.40159375
transcript.pyannote[3775].speaker SPEAKER_42
transcript.pyannote[3775].start 19336.90784375
transcript.pyannote[3775].end 19336.95846875
transcript.pyannote[3776].speaker SPEAKER_49
transcript.pyannote[3776].start 19336.95846875
transcript.pyannote[3776].end 19336.97534375
transcript.pyannote[3777].speaker SPEAKER_42
transcript.pyannote[3777].start 19336.97534375
transcript.pyannote[3777].end 19337.02596875
transcript.pyannote[3778].speaker SPEAKER_49
transcript.pyannote[3778].start 19337.02596875
transcript.pyannote[3778].end 19338.42659375
transcript.pyannote[3779].speaker SPEAKER_42
transcript.pyannote[3779].start 19337.24534375
transcript.pyannote[3779].end 19338.35909375
transcript.pyannote[3780].speaker SPEAKER_49
transcript.pyannote[3780].start 19338.73034375
transcript.pyannote[3780].end 19339.03409375
transcript.pyannote[3781].speaker SPEAKER_42
transcript.pyannote[3781].start 19339.03409375
transcript.pyannote[3781].end 19339.81034375
transcript.pyannote[3782].speaker SPEAKER_49
transcript.pyannote[3782].start 19340.21534375
transcript.pyannote[3782].end 19342.24034375
transcript.pyannote[3783].speaker SPEAKER_49
transcript.pyannote[3783].start 19342.71284375
transcript.pyannote[3783].end 19344.26534375
transcript.pyannote[3784].speaker SPEAKER_49
transcript.pyannote[3784].start 19344.50159375
transcript.pyannote[3784].end 19346.40846875
transcript.pyannote[3785].speaker SPEAKER_42
transcript.pyannote[3785].start 19345.17659375
transcript.pyannote[3785].end 19345.96971875
transcript.pyannote[3786].speaker SPEAKER_49
transcript.pyannote[3786].start 19347.30284375
transcript.pyannote[3786].end 19348.09596875
transcript.pyannote[3787].speaker SPEAKER_49
transcript.pyannote[3787].start 19349.34471875
transcript.pyannote[3787].end 19351.62284375
transcript.pyannote[3788].speaker SPEAKER_42
transcript.pyannote[3788].start 19351.96034375
transcript.pyannote[3788].end 19356.56721875
transcript.pyannote[3789].speaker SPEAKER_49
transcript.pyannote[3789].start 19356.56721875
transcript.pyannote[3789].end 19356.58409375
transcript.pyannote[3790].speaker SPEAKER_42
transcript.pyannote[3790].start 19358.77784375
transcript.pyannote[3790].end 19360.24596875
transcript.pyannote[3791].speaker SPEAKER_42
transcript.pyannote[3791].start 19360.71846875
transcript.pyannote[3791].end 19360.73534375
transcript.pyannote[3792].speaker SPEAKER_13
transcript.pyannote[3792].start 19360.73534375
transcript.pyannote[3792].end 19365.05534375
transcript.pyannote[3793].speaker SPEAKER_42
transcript.pyannote[3793].start 19361.27534375
transcript.pyannote[3793].end 19363.03034375
transcript.pyannote[3794].speaker SPEAKER_13
transcript.pyannote[3794].start 19365.67971875
transcript.pyannote[3794].end 19366.97909375
transcript.pyannote[3795].speaker SPEAKER_49
transcript.pyannote[3795].start 19367.41784375
transcript.pyannote[3795].end 19384.63034375
transcript.pyannote[3796].speaker SPEAKER_00
transcript.pyannote[3796].start 19373.47596875
transcript.pyannote[3796].end 19373.49284375
transcript.pyannote[3797].speaker SPEAKER_13
transcript.pyannote[3797].start 19373.49284375
transcript.pyannote[3797].end 19373.96534375
transcript.pyannote[3798].speaker SPEAKER_00
transcript.pyannote[3798].start 19373.96534375
transcript.pyannote[3798].end 19374.31971875
transcript.pyannote[3799].speaker SPEAKER_00
transcript.pyannote[3799].start 19374.64034375
transcript.pyannote[3799].end 19375.12971875
transcript.pyannote[3800].speaker SPEAKER_00
transcript.pyannote[3800].start 19376.26034375
transcript.pyannote[3800].end 19376.27721875
transcript.pyannote[3801].speaker SPEAKER_42
transcript.pyannote[3801].start 19376.27721875
transcript.pyannote[3801].end 19376.90159375
transcript.pyannote[3802].speaker SPEAKER_42
transcript.pyannote[3802].start 19377.42471875
transcript.pyannote[3802].end 19377.66096875
transcript.pyannote[3803].speaker SPEAKER_00
transcript.pyannote[3803].start 19377.66096875
transcript.pyannote[3803].end 19377.82971875
transcript.pyannote[3804].speaker SPEAKER_42
transcript.pyannote[3804].start 19383.12846875
transcript.pyannote[3804].end 19383.92159375
transcript.pyannote[3805].speaker SPEAKER_13
transcript.pyannote[3805].start 19383.92159375
transcript.pyannote[3805].end 19384.10721875
transcript.pyannote[3806].speaker SPEAKER_42
transcript.pyannote[3806].start 19385.59221875
transcript.pyannote[3806].end 19390.38471875
transcript.pyannote[3807].speaker SPEAKER_13
transcript.pyannote[3807].start 19386.25034375
transcript.pyannote[3807].end 19386.57096875
transcript.pyannote[3808].speaker SPEAKER_13
transcript.pyannote[3808].start 19390.38471875
transcript.pyannote[3808].end 19390.60409375
transcript.pyannote[3809].speaker SPEAKER_42
transcript.pyannote[3809].start 19390.60409375
transcript.pyannote[3809].end 19390.62096875
transcript.pyannote[3810].speaker SPEAKER_13
transcript.pyannote[3810].start 19391.78534375
transcript.pyannote[3810].end 19392.19034375
transcript.pyannote[3811].speaker SPEAKER_42
transcript.pyannote[3811].start 19393.70909375
transcript.pyannote[3811].end 19393.96221875
transcript.pyannote[3812].speaker SPEAKER_13
transcript.pyannote[3812].start 19393.96221875
transcript.pyannote[3812].end 19394.21534375
transcript.pyannote[3813].speaker SPEAKER_13
transcript.pyannote[3813].start 19396.02096875
transcript.pyannote[3813].end 19396.84784375
transcript.pyannote[3814].speaker SPEAKER_38
transcript.pyannote[3814].start 19396.84784375
transcript.pyannote[3814].end 19397.21909375
transcript.pyannote[3815].speaker SPEAKER_13
transcript.pyannote[3815].start 19397.21909375
transcript.pyannote[3815].end 19397.23596875
transcript.pyannote[3816].speaker SPEAKER_13
transcript.pyannote[3816].start 19397.70846875
transcript.pyannote[3816].end 19398.29909375
transcript.pyannote[3817].speaker SPEAKER_13
transcript.pyannote[3817].start 19398.55221875
transcript.pyannote[3817].end 19399.54784375
transcript.pyannote[3818].speaker SPEAKER_13
transcript.pyannote[3818].start 19400.57721875
transcript.pyannote[3818].end 19406.55096875
transcript.pyannote[3819].speaker SPEAKER_13
transcript.pyannote[3819].start 19407.52971875
transcript.pyannote[3819].end 19407.90096875
transcript.pyannote[3820].speaker SPEAKER_13
transcript.pyannote[3820].start 19408.44096875
transcript.pyannote[3820].end 19411.02284375
transcript.pyannote[3821].speaker SPEAKER_13
transcript.pyannote[3821].start 19411.54596875
transcript.pyannote[3821].end 19418.59971875
transcript.pyannote[3822].speaker SPEAKER_11
transcript.pyannote[3822].start 19432.97721875
transcript.pyannote[3822].end 19433.02784375
transcript.pyannote[3823].speaker SPEAKER_11
transcript.pyannote[3823].start 19433.44971875
transcript.pyannote[3823].end 19433.95596875
transcript.pyannote[3824].speaker SPEAKER_11
transcript.pyannote[3824].start 19434.96846875
transcript.pyannote[3824].end 19435.03596875
transcript.pyannote[3825].speaker SPEAKER_11
transcript.pyannote[3825].start 19435.87971875
transcript.pyannote[3825].end 19436.14971875
transcript.pyannote[3826].speaker SPEAKER_11
transcript.pyannote[3826].start 19436.57159375
transcript.pyannote[3826].end 19436.60534375
transcript.pyannote[3827].speaker SPEAKER_11
transcript.pyannote[3827].start 19436.70659375
transcript.pyannote[3827].end 19437.02721875
transcript.whisperx[0].start 527.995
transcript.whisperx[0].end 528.948
transcript.whisperx[0].text 谢谢观看,下次见!
transcript.whisperx[1].start 676.602
transcript.whisperx[1].end 676.703
transcript.whisperx[1].text 谢谢大家
transcript.whisperx[2].start 1995.602
transcript.whisperx[2].end 2001.157
transcript.whisperx[2].text 初期委員與主法定人數現在開會請議事人員宣讀上次會議議事錄
transcript.whisperx[3].start 2004.73
transcript.whisperx[3].end 2025.933
transcript.whisperx[3].text 立法院第11屆第三會期交通委員會第11次全體委員會議議事錄時間114年5月12日星期一上午9時至下午1時11分地點本院紅樓201會議室主席委員洪孟凱等15人列席委員鄭天才等8人列席官員數位發展部部長黃彥南國家科學及技術委員會副主任委員陳秉宇
transcript.whisperx[4].start 2027.014
transcript.whisperx[4].end 2053.386
transcript.whisperx[4].text 及交通部政務次長陳彥博等主席林造極委員郭誠報告此項宣讀上市會議議事錄決定議事錄確定討論事項審查人工智慧基本法草案人工智慧發展及管理條例草案等案二審查公路法等修正草案三審查停車場法等修正草案本人會議由委員何新泉等說明提案要旨由交通部政務次長陳彥博等報告後藉由委員洪孟凱等提出質詢軍經政務次長陳彥博
transcript.whisperx[5].start 2061.246
transcript.whisperx[5].end 2064.736
transcript.whisperx[5].text 決議一報告及宣達完畢二委員諮詢中要求提供相關書面資料
transcript.whisperx[6].start 2065.256
transcript.whisperx[6].end 2091.089
transcript.whisperx[6].text 或未及答覆部分 請交通部及相關機關盡速與書面答覆三 人工智慧基本法草案及人工智慧發展及管理條例草案等事案已通過程序動議以下 二依據立法院各委員會組織法第十三條規定報請院會決定均改交交易及文化交通聯網委員會審查並與醫事募金主席核定後函報院會處理三 討論四項二及三個案均另定期繼續審查 三會宣讀完畢
transcript.whisperx[7].start 2096.141
transcript.whisperx[7].end 2122.066
transcript.whisperx[7].text 我現在介紹在場委員 洪夢凱委員還有林德福委員現在我們的官員有交通部長陳士凱部長
transcript.whisperx[8].start 2126.891
transcript.whisperx[8].end 2151.374
transcript.whisperx[8].text 蘇維發展部黃燕蘭部長公共工程委員會陳金德主委交通部的會計處張信義處長公路局陳文瑞局長觀光署周永輝署長
transcript.whisperx[9].start 2154.946
transcript.whisperx[9].end 2169.719
transcript.whisperx[9].text 民航局何淑萍局長鐵道局楊振軍局長航港局葉協隆局長運營所林紀國所長氣象署呂國成所長陶基楊維福董事長
transcript.whisperx[10].start 2183.697
transcript.whisperx[10].end 2210.31
transcript.whisperx[10].text 台鐵吳聖元次長代理董事長那書畫部有主計處吳俊裕處長書衛產業署林俊秀署長指動安全署蔡芙蓉署長
transcript.whisperx[11].start 2213.89
transcript.whisperx[11].end 2232.564
transcript.whisperx[11].text 工程會還有李一德副主委羅天健主秘主席是孫慧主任還有主席總署公務預算處張正輝專門委員意思如
transcript.whisperx[12].start 2239.622
transcript.whisperx[12].end 2263.142
transcript.whisperx[12].text 好那剛剛議事錄請問各位委員對議事錄有沒有什麼意見沒有沒有的話我們就議事錄確定本日會議先處理報告事項2到4有關交通部主管34案數位發展部主管13案及行政院公共工程委員會7案之解凍案請議事人員宣讀
transcript.whisperx[13].start 2273.217
transcript.whisperx[13].end 2273.867
transcript.whisperx[13].text 是很重要的
transcript.whisperx[14].start 2275.817
transcript.whisperx[14].end 2303.862
transcript.whisperx[14].text 報告事項二處理一百一四零六度中央政府總預算關於交通部主管預算凍結案計算四案交通部函一至七檢証該部一決議一違辦費凍結十分之一案二決議二一般事務費凍結十分之一案三決議五交通科技研究發展凍結十分之一案四決議六一般行政凍結五分之一案五決議七交通運輸規劃及產業發展凍結十分之一案六決議八
transcript.whisperx[15].start 2304.962
transcript.whisperx[15].end 2325.44
transcript.whisperx[15].text 營業基金凍結十分之一案七 決議九 高雄都會區輕軌運輸系統高雄環傳輕軌捷運建設計畫凍結十分之一案將不含八 九 減送民用航空局八 決議一 一般行政凍結二十分之三案九 決議二 空運管理業務凍結十分之一案
transcript.whisperx[16].start 2328.407
transcript.whisperx[16].end 2334.631
transcript.whisperx[16].text 交通部函10至18檢送中央氣象署10決議1水電費凍結1%案11決議2通訊費凍結1%案12決議3資訊服務費凍結1%案13決議4委辦費凍結500萬元案14決議5房屋建築及設備費凍結1%案15決議6
transcript.whisperx[17].start 2351.28
transcript.whisperx[17].end 2378.688
transcript.whisperx[17].text 資訊軟硬體設備費凍結十分之一案十六決議八一般行政凍結五分之一案十七決議九氣象撤報凍結十分之一案十八決議十營建工程凍結五百萬元案政府部函十九至二十一簡訊觀光署及所屬十九決議一一般行政凍結十分之一案二十決議二觀光業務凍結十分之一案二十一決議三國家風景區開發與管理凍結十分之一案
transcript.whisperx[18].start 2379.178
transcript.whisperx[18].end 2387.32
transcript.whisperx[18].text 九龍部函22至26檢証運輸研究所22決議1資訊服務費凍結十分之一案23決議2違犯費凍結100萬元案24決議3一般事務費凍結十分之一案25決議4運輸科技應用研究業務凍結五分之一案26決議5運輸研究業務凍結十分之一案
transcript.whisperx[19].start 2403.84
transcript.whisperx[19].end 2419.561
transcript.whisperx[19].text 交通部函二十七二十八檢算公路局及所屬二十七決一二公路及監理業務管理凍結十分之一案二十八決一三公路建設及改善計劃凍結十分之一案交通部函二十九至三十一
transcript.whisperx[20].start 2421.275
transcript.whisperx[20].end 2435.89
transcript.whisperx[20].text 減送鐵道局及所屬29決議1一般行政凍結十分之一案30決議2國家鐵道建設與管理凍結十分之一案31決議3鐵公路重要交通工程凍結十分之一案交通部函32至34減送
transcript.whisperx[21].start 2438.412
transcript.whisperx[21].end 2466.073
transcript.whisperx[21].text 韓港局三十二決議一 韓港業務管理及發展凍結十分之一案三十三決議二 偏眼地區交通建設凍結兩千萬元案三十四決議三 交通及運輸設備凍結十分之一案三處理一百一四年度中央政府總預算關於數位發展部主管預算凍結案計十三案數位發展部含一至六檢証該部一決議一凍結二十分之一案二決議二一般事務費凍結十分之一案
transcript.whisperx[22].start 2469.051
transcript.whisperx[22].end 2483.076
transcript.whisperx[22].text 三決議三國外旅費凍結五分之一案四決議六一般行政凍結十分之一案五決議七經歷全民數位韌性連結民主網路凍結十分之一案六決議八創新數位跨
transcript.whisperx[23].start 2484.216
transcript.whisperx[23].end 2501.04
transcript.whisperx[23].text 跨域協作訂定智慧應用基礎凍結五分之一案數據發展部函七字九檢証制度安全暑期決議一一般行政凍結一千萬元案八決議二綜合規劃管理凍結十分之一案九決議三
transcript.whisperx[24].start 2501.56
transcript.whisperx[24].end 2529.097
transcript.whisperx[24].text 辅导培训业务冻结十分之一案数位发展部时至十三减送数位产业属使决议依基本行政工作为此冻结五分之一案十一决议二设备及投资冻结十分之一案十二决议四媒体政策及业务宣导费冻结四分之一案十三决议五促进数位创新动能转型升级冻结十分之一案是处理一百一四年度中央政府总预算
transcript.whisperx[25].start 2529.997
transcript.whisperx[25].end 2534.961
transcript.whisperx[25].text 關於行政院公共工程委員會預算凍結案第七案行政院公共工程委員會凍結十分之一案
transcript.whisperx[26].start 2544.184
transcript.whisperx[26].end 2544.724
transcript.whisperx[26].text 宣讀完畢做以下決定
transcript.whisperx[27].start 2572.23
transcript.whisperx[27].end 2583.966
transcript.whisperx[27].text 報告事項2到41114年度中央政府總預算案決議各案書面報告已送達均予被查提報院會
transcript.whisperx[28].start 2588.366
transcript.whisperx[28].end 2607.024
transcript.whisperx[28].text 接著進行審查及處理討論事項有關交通部主管14案、數位發展部主管7案及行政院公共工程委員會議案之解凍案先進行機關報告及詢答程序我們先請陳士凱部長報告
transcript.whisperx[29].start 2617.301
transcript.whisperx[29].end 2637.575
transcript.whisperx[29].text 主席各位委員女士先生首先感謝各位委員對於本部相關業務之指導與支持今天遵照大院的議事安排就本部114年度單位預算凍結項目提出報告討論事項涉及本部部分共有14案其中專案報告計7案
transcript.whisperx[30].start 2648.381
transcript.whisperx[30].end 2670.686
transcript.whisperx[30].text 營業基金科目下台鐵公司台鐵軌道結構安全提升計畫營業所需基礎建設重置計畫以及淘機公司等六案以及氣象署氣象科技研究發展提出專案報告書面報告經同意案計六案其中本部業務凍結70%民航局
transcript.whisperx[31].start 2674.767
transcript.whisperx[31].end 2679.931
transcript.whisperx[31].text 空運管理業務凍結30%以及鐵道局業務凍結30%須經大院同意後 使得凍之其餘的三案分別為本部媒體政策及業務宣導費用凍結20%觀光署觀光業務凍結30%以及公路局公路及監理業務管理凍結20億元另外公路局
transcript.whisperx[32].start 2703.187
transcript.whisperx[32].end 2723.926
transcript.whisperx[32].text 的媒體政策以及業務宣導費用預算凍結十分之一原為書面報告即可動之為經院會決議交貴委員會審查本次會議同樣列為討論案上開各個預算系配合本部各項業務的推動包括建構道路以及
transcript.whisperx[33].start 2724.767
transcript.whisperx[33].end 2739.442
transcript.whisperx[33].text 交通安全推動台灣觀光亮點提升公共運輸品質強化幸福交通網連結優化海空運發展精進遊感氣象服務等等各項重要的工作維持所需要的經費
transcript.whisperx[34].start 2740.936
transcript.whisperx[34].end 2761.602
transcript.whisperx[34].text 考量今天議事議程較多為了節省時間以下容我僅針對專案報告之本部以及氣象署業務推動的情形請會計處張處長以及氣象署呂署長檢要報告辦理的情形敬請各委員會與支持並且同意動之經費謝謝
transcript.whisperx[35].start 2769.582
transcript.whisperx[35].end 2770.007
transcript.whisperx[35].text 請交通部繼續報告
transcript.whisperx[36].start 2773.717
transcript.whisperx[36].end 2798.113
transcript.whisperx[36].text 主席 各位委員 女士先生大院議事安排我們本部的部分有14案我們除了以正式函報書面之外我們也都逐案做了所謂口頭報告那因為我現在就本部的8個案子做重點摘要所以所有的口頭報告請各位委員參閱那我們的報告基本上是按凍結數字比例大小的順序我來做一個說明那第一個是有關業務費預算7.37億元凍結70%要經同意時的凍資一案
transcript.whisperx[37].start 2804.157
transcript.whisperx[37].end 2823.029
transcript.whisperx[37].text 一決議凍結比例70%本不僅於30%可以滋用與執行至30%使得申請凍結之條件競合因此因為預算法明定不得在預算外動用公款且優惠的性質支付作業無法控制剛好滋用30%所以本解凍案
transcript.whisperx[38].start 2823.789
transcript.whisperx[38].end 2851.81
transcript.whisperx[38].text 申請的這個報告僅能以實際簽約等執行情形預計使用數將達30%的情形來呈現連同本部主管其他解凍案一併提出來報告那因為這個解凍案的高比例所以我們本部已經採取了各項管控措施包含節能部分於本年3月底之前全日停止空調設備運轉其餘部分下午5點以後即轉換為最小頓速的冰水主機
transcript.whisperx[39].start 2853.152
transcript.whisperx[39].end 2867.069
transcript.whisperx[39].text 這個維持最低限度的運轉那非不上班時段我們僅開放一部電梯同時針對所有採購發包案均加注因預算凍結得延遲付款的單書協調廠商延後清款以為因應那經統計各項合約及交通
transcript.whisperx[40].start 2869.412
transcript.whisperx[40].end 2881.581
transcript.whisperx[40].text 基本違運必須的支出預計付款期程截至4月底已經支付了是0.55億元其中採取前階節能措施後截至4月平均用電度數已較113年同期顯著減少3萬餘度
transcript.whisperx[41].start 2887.686
transcript.whisperx[41].end 2892.272
transcript.whisperx[41].text 約13%推估在相同節能作為下整體業務費預計至7月中整體支付數將達業務費的30%另外截至目前已訂有契約數加計已簽約數大概有6億5900餘萬元
transcript.whisperx[42].start 2905.24
transcript.whisperx[42].end 2920.704
transcript.whisperx[42].text 6億5900餘萬元 軍系更續推動道路安全 交通安全 新車安全平等等揭露發展智慧交通運輸等重點工作 確有其必要第二點 大陸地區旅費預算7.2萬元 凍結二分之一案 是專案報告為掌握亞洲物流運輸發展趨勢及持續推動兩岸之間的空運
transcript.whisperx[43].start 2929.226
transcript.whisperx[43].end 2946.655
transcript.whisperx[43].text 海貨運直航、小山東客貨運業務並保障國人用油權益須與陸方海空運及郵政等部門就航班數量及航點相關議題進行業務交流與施壓機械商以增進往來民眾物流與油物資便捷與暢通
transcript.whisperx[44].start 2947.836
transcript.whisperx[44].end 2969.514
transcript.whisperx[44].text 第三點交通運輸規劃及產業發展向下業務費預算5.5億元凍結28%專案報告一案因應財政收支劃分法修正後中央稅務財源大幅減少對未來年度中央負責施政之稅出資源配置必然造成影響行政院基於事務權責與財力相應
transcript.whisperx[45].start 2971.556
transcript.whisperx[45].end 2990.324
transcript.whisperx[45].text 因相符之原則以積極進行規劃協商本部相關事權劃分將配合行政院整體調整結果積極辦理並持續與地方政府的交通部門溝通合作使國家整體財政做最適切的運用第四媒體政策及業務宣導費預算0.82億元凍結20%
transcript.whisperx[46].start 2995.467
transcript.whisperx[46].end 3012.026
transcript.whisperx[46].text 書面報告經同意後使得動資為達成2030年前降低死亡人數50%的目標本部除致力於改善危險入口增加人行道空間等優化道路基本環境外培養正確駕駛及用路觀念也同等重要
transcript.whisperx[47].start 3012.646
transcript.whisperx[47].end 3027.718
transcript.whisperx[47].text 透過多元媒體管道依不同目標族群特性設計文宣及規劃通路向民眾傳達我國當前道路交通安全重要法規及推行政策內容以深化各族群用路知識五 派員出國計劃預算456.6萬元凍結五分之一專案報告案
transcript.whisperx[48].start 3034.023
transcript.whisperx[48].end 3056.469
transcript.whisperx[48].text 將汲取外國經驗 接軌國際作為我國擬定推動淨零轉型及道路安全等交通政策的參與將更積極參與APEC運輸領域等重要場合及拜會與各經濟體的運輸單位代表進行交流 必使政府相關決策可以更加周延可行六 投資台鐵軌道結構安全提升計畫預算8天5億元 凍結3000萬元
transcript.whisperx[49].start 3061.161
transcript.whisperx[49].end 3085.379
transcript.whisperx[49].text 書面報告同經同一時的動滋案為確保軌道整體結構強度本部已責任台鐵公司切實檢討改善列車滑走及吊車出軌事故除落實定期巡檢及人員教育訓練外加速趕辦倒叉更新作業以防患目診行倒叉螺栓因年久收拖致軌的
transcript.whisperx[50].start 3087.06
transcript.whisperx[50].end 3106.189
transcript.whisperx[50].text 軌跡擴大而造成列車出軌落軌等事故再次發生其投資台鐵公司營業所需基礎設施重置計畫預算9.5億元凍結5000萬元狀案報告為強化平交道安全本部已責任台鐵公司切實檢討改善遮斷機更新優化作業
transcript.whisperx[51].start 3107.75
transcript.whisperx[51].end 3112.415
transcript.whisperx[51].text 經盤查急需額外辦理電源改善計149處預計於114年11月完成電源改善並於115年7月前完成遮斷機全速安裝八 投資國際機場桃園
transcript.whisperx[52].start 3123.783
transcript.whisperx[52].end 3147.78
transcript.whisperx[52].text 股份有限公司預算63.8億元凍結2億元案為推動台灣桃園國際機場第三航站區建設計畫因所需資金龐大無法全數由公司營運資金支應必須由國庫予以部分挹注自有關該計畫向下旅客運輸系統工程終止契約案本部已要求桃機公司依其檢討與精進做法
transcript.whisperx[53].start 3149.301
transcript.whisperx[53].end 3167.152
transcript.whisperx[53].text 若屬於後續發報作業,避免再發生類似爭議,並緊速辦理接續採購及建置作業,以其第三行下啟用時期如期提供服務。中上本部各項施政計劃,局勢配合國家發展,循序推動。懇請各位委員支持,並同意相關經費的動資,並立各項業務推動。謝謝。
transcript.whisperx[54].start 3176.076
transcript.whisperx[54].end 3200.392
transcript.whisperx[54].text 主席 各位委員 各位女士先生今天應邀列席貴賓會就有關於中央氣象署決議第一幕氣象科技研究發展凍結十分之一有關台灣南部海域地震
transcript.whisperx[55].start 3201.172
transcript.whisperx[55].end 3218.742
transcript.whisperx[55].text 海嘯的海底監測系統建置提出專案報告進行各位委員賜教並予以支持為強化台灣南部海域地震跟海嘯的運行能力本署提報台灣南部海域地震的海嘯海底監測計畫
transcript.whisperx[56].start 3221.744
transcript.whisperx[56].end 3248.846
transcript.whisperx[56].text 主要工作包含兩項一個是建置南部海域海嵐的監測系統以及維持既有海嵐的監測系統設備以及陸上站的穩定維運那台灣南部海域海嵐監測案呢於110年到112年間遭受COVID-19等不可抗拒的因素造成廠商施作成本大幅提升疑慮的增加疫情期間共
transcript.whisperx[57].start 3250.187
transcript.whisperx[57].end 3269.559
transcript.whisperx[57].text 產生了八次的流標現象那本署就遭遇的問題積極的辦理了兩次修正計畫第一次修正計畫仍然是因為受到不可抗力的因素導致了三次的流廢標為立計畫能夠持續的推動本署在112年10月20號召開了專家委員會進行第二次計畫的修正作業
transcript.whisperx[58].start 3275.423
transcript.whisperx[58].end 3293.243
transcript.whisperx[58].text 計畫雖然受限於經費的因素有縮減的規模但是對於台灣南部海域以及及時地震跟海嘯監測的目標維持不變並且兼顧了持續既有的海嵐的維運同時也兼顧了往南延伸的擴充性
transcript.whisperx[59].start 3294.204
transcript.whisperx[59].end 3305.019
transcript.whisperx[59].text 在第二次修正計畫之後呢能持續的招標可是呢仍然沒有廠商有來投標導致廢標的情況目前我們正嚴厲辦理後續的
transcript.whisperx[60].start 3308.444
transcript.whisperx[60].end 3332.684
transcript.whisperx[60].text 工作那本署依據學者的相關研究呢位於台灣西南方的馬尼拉海溝呢是引發高海效的潛在可能的震源主要會危及屏東高雄台南等臨近的地區臨海的地區有建於本署辦理本計劃呢是有其必要的才能夠去提供這個
transcript.whisperx[61].start 3333.985
transcript.whisperx[61].end 3349.073
transcript.whisperx[61].text 海溝地震海嘯的監測能力能夠降低這一些天然災害對於臺灣西南部沿海地震所造成的威脅那本計劃完成後預計可以對我們臺灣西南部沿海的地震
transcript.whisperx[62].start 3349.913
transcript.whisperx[62].end 3365.666
transcript.whisperx[62].text 預警提供14秒的提前預警海嘯預警可以提前30分鐘的預警應變時間那本署現在正努力的徵詢潛在的廠商並依據最新市場的動態以及國內的需求規劃進行第三次修正
transcript.whisperx[63].start 3367.19
transcript.whisperx[63].end 3393.42
transcript.whisperx[63].text 以朝在經費的許可範圍之內呢尋找潛在廠商有意願投標的情況那為降低馬尼拉海溝的大地震所可能對臺灣西南部海域的威脅那本署呢也心緒正推動本計劃努力的達成強化臺灣南部海域地震跟海嘯的預警能力本署的第一幕氣象科技研究發展預算呢同時呢也辦理了氣象監測
transcript.whisperx[64].start 3396.027
transcript.whisperx[64].end 3412.94
transcript.whisperx[64].text 預報的精心以及人工智慧應用在先進科技的發展同時也兼顧了海嵐的穩定作業對於氣象、地震、海嘯等等防潛在作業影響甚具請各位支持並同意予以動之以利業務發展及推動 謝謝好 謝謝我們現在請蘇發部黃燕蘭部長報告
transcript.whisperx[65].start 3429.527
transcript.whisperx[65].end 3453.557
transcript.whisperx[65].text 主席各位委員大家好首先感謝各位委員對於本部相關業務的指導跟支持本部主管114年單位預算凍結案有20案已提交詳細的解凍報告給大院以下就三案專案報告及一案書面報告須經大院同意後使得凍資的辦理情形檢要報告另外16案的
transcript.whisperx[66].start 3455.158
transcript.whisperx[66].end 3481.892
transcript.whisperx[66].text 書面報告解凍部分請參閱紙本報告請各位委員指教第一案是蘇發布的數位創新關鍵基礎建設計畫預算是凍結50%專案報告案數位創新關鍵基礎建設計畫的分散式驗證及授權系統也就是所謂的數位憑證批夾系統就像一般民眾日常生活使用的實體批夾
transcript.whisperx[67].start 3483.032
transcript.whisperx[67].end 3504.798
transcript.whisperx[67].text 是用來存放數位憑證容器民眾於生活中可以依其需要來放入數位憑證需要的時候可以拿出數位憑證供驗證用也可以隨時移除處方在裡面的數位憑證皮夾裡面的數位憑證那數位憑證皮夾有完善的隱私保護措施嚴格的
transcript.whisperx[68].start 3505.638
transcript.whisperx[68].end 3530.061
transcript.whisperx[68].text 治安措施並遵循我國個人資料保護法電子簽章法資通安全管理法確保整個系統運作符合相關法律要求一方面保障了民眾的個人資料的隱私權也建立政府與社會對數位憑證的服務的一個信任基礎數位憑證皮夾有望成為我國兼顧便利與
transcript.whisperx[69].start 3530.922
transcript.whisperx[69].end 3546.238
transcript.whisperx[69].text 安全的數位公共服務推動我國數位政府去數位生活邁向新的里程碑第二個是蘇發部對一個創新數位跨域協作訂定智慧應用基礎的預算凍結50%的專案報告案
transcript.whisperx[70].start 3549.791
transcript.whisperx[70].end 3564.868
transcript.whisperx[70].text 創新數位跨域協作奠定智慧應用基礎的預算編業那是維持精進整體行政部門數位運作的基本經費無論是全國政府網路骨幹服務政府專屬資料傳輸機制
transcript.whisperx[71].start 3567.631
transcript.whisperx[71].end 3596.768
transcript.whisperx[71].text 推動政府系統數位韌性補助地方政府數位發展及培育政府數位人才等工作都仰賴本預算的支持跟推動讓政府數位服務及行政運作更快更穩定更具安全性為了持續推動智慧政府計畫完善部門能工智慧應用參考手冊強化資訊人才技能優化數位服務入口
transcript.whisperx[72].start 3598.028
transcript.whisperx[72].end 3618.62
transcript.whisperx[72].text 這項工作經費都有積極執行的必要性第三數位產業署測盡數位跨域應用與平台服務預算凍結十分之一的專案報告數位產業署聚焦於推動資安產業促進AI產業躍升強化產業科技聯防及建構數位內容產業四大主軸在資安產業相關技術包括軍用
transcript.whisperx[73].start 3626.464
transcript.whisperx[73].end 3651.676
transcript.whisperx[73].text 軍民通用AI導入資安後量子密碼等與晶片檢測能力等並透過展會擴展國際市場AI產業透過產業聯盟驗證應用場域協助企業導入AI打造方面要求網路廣告平台第三方支付電商及遊戲業者落實防炸數位內容產業提供場域及技術資源與國際合作推動原創遊戲
transcript.whisperx[74].start 3655.338
transcript.whisperx[74].end 3662.521
transcript.whisperx[74].text 上架國際促進跨域創新第四 數位產業署促進數位創新動能轉型升級預算凍結十億元書面報告經同意後使得動之案
transcript.whisperx[75].start 3672.702
transcript.whisperx[75].end 3695.681
transcript.whisperx[75].text 庶產署在有限機會之下考慮急迫性跟必要性將優先支持打擊詐騙如詐欺犯罪危害防治條例洗錢防治法相關配合工作公權力行使如電商的治安與個資防護的行政檢查第三方付款
transcript.whisperx[76].start 3700.469
transcript.whisperx[76].end 3714.539
transcript.whisperx[76].text 業務洗錢防治及服務能量登錄、電子簽章法、5G專案管理等法定職長的業務的推動另外在有限的資源下議會持續輔導數位遊戲、資安產業及制服業者等創新研發以及促進業者投入AI、新興技術應用
transcript.whisperx[77].start 3725.343
transcript.whisperx[77].end 3748.855
transcript.whisperx[77].text 或方案研發與百工百業AI的普及應用逼逐步實現加速產業數位創新轉型帶動數位相關產業發展的願景結語本部將以積極推動打造工作強化國家數位韌性推動數位經濟發展等三支箭達到新立可防弊的雙重效果
transcript.whisperx[78].start 3750.475
transcript.whisperx[78].end 3776.272
transcript.whisperx[78].text 出發部各項施政計畫與預算軍配合數位發展政策循序推動為因應業務實際的需要以上預算凍結案 懇請各位委員支持並同意相關經費的動之 便利各項業務能夠順利推動 謝謝現在請工程會陳金德主委報告
transcript.whisperx[79].start 3785.613
transcript.whisperx[79].end 3798.516
transcript.whisperx[79].text 主席各位委員先進大家好首先感謝各位委員對本會相關業務之執法與支持今天呈邀列席貴委員會就本會114年度預算解凍案進行報告本會114年度單位預算凍結案計8案其中7案需
transcript.whisperx[80].start 3805.538
transcript.whisperx[80].end 3815.349
transcript.whisperx[80].text 向貴委員會提書面時的動之那麼剛才的報告事項也獲得委員會的支持感謝各位委員會的支持另外一案
transcript.whisperx[81].start 3816.924
transcript.whisperx[81].end 3837.907
transcript.whisperx[81].text 是需執行30%之後那麼要經院會同意時的動之這是業務會凍結50%的部分那麼列入今天貴委員會的討論事項那麼以下請就提案事項的理由啊做說明第一本會主改的進度說明本會
transcript.whisperx[82].start 3839.088
transcript.whisperx[82].end 3866.917
transcript.whisperx[82].text 一大院三讀通過的行政院公共工程委員會組織條例設立迄今另外行政院功能業務與組織調整條例也經大院110年12月21日三讀通過那麼已經刪除原名稱行政院功能業務與組織調整暫行條例暫行遏制那麼以因行政院主改作業得益國家發展的政務需求施政環境
transcript.whisperx[83].start 3867.697
transcript.whisperx[83].end 3884.905
transcript.whisperx[83].text 背景等以穩健務實的以及彈性的方式進行滾動調整本會現階段維持以工程會運作未來組織日調整當配合行政院政策辦理事實說本會功能之重要性與必要性那麼第二
transcript.whisperx[84].start 3888.32
transcript.whisperx[84].end 3896.876
transcript.whisperx[84].text 113年12月本會以徵修公共工程價格資料庫決標標筆查詢功能本會公共工程價格資料庫
transcript.whisperx[85].start 3899.042
transcript.whisperx[85].end 3914.299
transcript.whisperx[85].text 以完成借接政府電子採購網可直接取得各機關上傳決標案件之底價資料用於計算決標筆並於113年12月於公共工程雲端服務網技術雲價格資料庫頁面新增查詢決標筆功能選項
transcript.whisperx[86].start 3919.164
transcript.whisperx[86].end 3926.109
transcript.whisperx[86].text 提供使用者查詢特定工項決標單價時可一併查詢該工程決標單價之平均決標比供各機關訂定工程採購底價時參考本會業務主要為統籌公共工程之規劃審議協調督導事項
transcript.whisperx[87].start 3940.899
transcript.whisperx[87].end 3967.113
transcript.whisperx[87].text 糖無法解凍將影響全國公共工程計畫以基本設計審議、流標檢討會議、政府採購爭議案件審議量能技師及顧問公司證照業務推動協助工程產業海外發展業務推動工程節能減碳推動政府採購電子化及資訊安全等將影響重大建設之推動進而影響民眾生活品質之提升
transcript.whisperx[88].start 3967.893
transcript.whisperx[88].end 3977.619
transcript.whisperx[88].text 本會114年度業務會截至114年4月底已執行1894萬5千元如果含全責發生數金額4990萬2千元合計6884萬7千元執行率已達35.35%
transcript.whisperx[89].start 3991.626
transcript.whisperx[89].end 4018.333
transcript.whisperx[89].text 為業務推動順遂懇請各位委員支持同意相關經費之動之以利各項業務之推動謝謝討論事項機關報告完畢個案也均有送詳細書面請各位一併參考並列入紀錄刊登公報
transcript.whisperx[90].start 4025.596
transcript.whisperx[90].end 4051.871
transcript.whisperx[90].text 現在進行詢答先宣告以下事項詢答時間出席委員五分鐘列席委員四分鐘委員發言登記於十點三十分截止各委員如有臨時提案請於十點前提出以便議事人員會診暫定十點三十分休息十分鐘
transcript.whisperx[91].start 4053.396
transcript.whisperx[91].end 4073.101
transcript.whisperx[91].text 中午原則上不休息現在請登記第一位委員洪孟楷委員發言主席謝謝麻煩請交通部陳部長請陳部長
transcript.whisperx[92].start 4081.158
transcript.whisperx[92].end 4108.672
transcript.whisperx[92].text 好 部長好委員好部長前天在新北三峽的這個車禍真的是讓國人都非常的痛心那我也看到交通部動作很快不只取消520的週年記者會那並且在昨天有宣布要調整三項的檢討措施其中包括現行的高齡換照制度75歲到70歲有提到說換照考試要增加實地演練是不是可以說明一下實地演練跟現在預期的規劃方向是什麼
transcript.whisperx[93].start 4109.632
transcript.whisperx[93].end 4133.044
transcript.whisperx[93].text 報告委員 這個部分我們是針對有肇事紀錄者有肇事紀錄者我們希望能夠增加安全駕駛能力的訓練課程那這個課程除了說有講習之外還有另外一個重要的是實地的演練我們希望實際上讓他在車上開車的狀況底下我們有人在旁邊看跟現行的筆試跟錄考有什麼不同
transcript.whisperx[94].start 4133.953
transcript.whisperx[94].end 4162.666
transcript.whisperx[94].text 跟現行的駕照考試跟現行的駕照考試應該不會是一樣的應該不會是一樣的但是我們要去檢測的是他在車上他的反應能力可不可以還有他的駕駛能力可不可以這個部分我們會有另外一套的系統跟一般的第一次的考照的狀況一定是不一樣的一定不一樣可是現在現行的制度的問題在於是高齡換照只要檢附體檢證明跟失智證明
transcript.whisperx[95].start 4163.226
transcript.whisperx[95].end 4180.887
transcript.whisperx[95].text 所以換言之現在都是所謂的文件審查而已我們有認知能力的這個考驗考試嘛那未來你要針對叫實地的演練的部分國人也很關心因為在這一起事件上面當然這一起事件到最後的一個成因為何目前還不知道還在調查
transcript.whisperx[96].start 4181.468
transcript.whisperx[96].end 4199.661
transcript.whisperx[96].text 但是你也講了一句就是說不希望對於高齡駕駛有誤解也不要有歧視不過過去也有很多的這個所謂的高齡駕駛的一個事故所以我們才會做這樣的一個修正嘛對不對所以實地演練未來什麼時候會讓國人清楚明白而且你剛有提到一個是說只針對肇事
transcript.whisperx[97].start 4201.502
transcript.whisperx[97].end 4223.239
transcript.whisperx[97].text 有肇事前科的沒有肇事前科的我們會用這個教育訓練的部分講習的部分那另外比較重要其實這一次我們的改革方向比較重要的是大家也相當關心就是像剛剛委員所提到我們那個測驗能不能夠反映出長者在駕駛的過程當中他的反應能力所以我們危險感知的測驗也會放進來
transcript.whisperx[98].start 4224.019
transcript.whisperx[98].end 4245.121
transcript.whisperx[98].text 包含他的反應速度跟對於危險事物的那個感知的能力齁這個我們也都會放進來那我們剛剛所提到的這個細節的部分我昨天有跟民眾報告過跟媒體報告三個月之後我們會把這個細節提出來三個月延年出來方案對對對什麼時候實施我們希望明年一百一十五年能夠實施明年一月開始實施我們希望明年可以實施好
transcript.whisperx[99].start 4245.922
transcript.whisperx[99].end 4273.875
transcript.whisperx[99].text 那這個部分其實我們一起來努力就是希望是能夠降低交通事故尤其是看到這個新北三峽的這一件非常讓人難過的一個事故不過如果說很多人也在提到是說高齡駕駛的部分是在偏鄉地區他可能會有一些交通的一個需求那你之前有提到是所謂的幸福小巴或是幸福巴士幸福小王或幸福巴士的部分目前覆蓋率還是沒有辦法達到來人之百
transcript.whisperx[100].start 4274.676
transcript.whisperx[100].end 4279.251
transcript.whisperx[100].text 你之前有提過2028年要到百分之百這個目標有沒有可能再提前
transcript.whisperx[101].start 4280.22
transcript.whisperx[101].end 4306.638
transcript.whisperx[101].text 因為如果說75歲往下變成70歲的話可能182萬人都會有受到影響是沒有錯報告委員現在人數確實是我們高齡化社會之後增長蠻多現在70歲以上差不多有182萬人那10年之後我們會有272萬人這個問題一定要解決就是大家行的問題我們都會老我們老了之後一方面有可能需要駕駛
transcript.whisperx[102].start 4307.478
transcript.whisperx[102].end 4326.303
transcript.whisperx[102].text 二方面有可能像剛剛委員所提到的幸福小黃的部分目前我們的覆蓋率94%目前大概只有四五個鄉鎮沒有那委員在提醒的我們一定會努力來做看可不可以提早啦我們提早如果只差幾個鄉鎮我們盡量想辦法讓它趕快有幸福小黃跟幸福巴瑟的建置覆蓋率可以達到100%
transcript.whisperx[103].start 4329.065
transcript.whisperx[103].end 4356.93
transcript.whisperx[103].text 是不是跟我也報告因為覆蓋率它的定義就是說它是說你的住戶500公尺範圍內有公共運輸通行那有些住戶其實它的500公尺其實它是車子進不了的它有一些部分沒關係 局長這個事後再給本席資料好不好我們只要車子能夠到得了我們小車能夠到得了我們會盡量來不過來看一下這一次的一個事故狀況因為你看其實很多人現在也都開始在看媒體也整理了
transcript.whisperx[104].start 4357.29
transcript.whisperx[104].end 4379.933
transcript.whisperx[104].text 其實他從國慶路學城路這邊第一已經有所謂的肇事不管是撞到後車之後加速逃逸的情況那到北大國小甚至第三個點以及到第四個點撞到分隔島才停下來我們特別算了一下這個距離有多長你知道嗎有將近400多公尺
transcript.whisperx[105].start 4381.229
transcript.whisperx[105].end 4407.538
transcript.whisperx[105].text 換言之這樣的一個距離400多公尺然後又是整個極限距離他已經很難是單一的因素他不一定是當然高齡有沒有可能他誤踩因為這一個就這一個於南來講他五年前也有肇事紀錄而當時肇事紀錄的一個他的太太的說法是說他把煞車誤踩成油門所以才會造成五年前的肇事紀錄新聞上都有看到
transcript.whisperx[106].start 4408.058
transcript.whisperx[106].end 4425.44
transcript.whisperx[106].text 那五年後發生那麼令人難過的一個意外狀況那我們現在來講除了所謂的行人地域要改善工程要來繼續做維護以外軟體的部分以及相關的車輛主動行人防治的一個部分是不是也應該加強因為
transcript.whisperx[107].start 4427.142
transcript.whisperx[107].end 4444.971
transcript.whisperx[107].text 如同你現在講的調整高齡的駕駛的一個年齡比照英國 日本日本就是70歲以上就要換照嘛我們這套系統其實是應該是學習參考日本啦因為日本比我們更早進入超高齡社會那日本就有強迫要加裝防暴衝裝置
transcript.whisperx[108].start 4446.636
transcript.whisperx[108].end 4466.122
transcript.whisperx[108].text 因為在車輛上面的防暴衝裝置的話有可能是不是就比較有機會能夠降低今天的事故不然您看從第一個點一直到第二個點直線尤其我們看到那個影片甚至影片行車紀錄器出來之後很多人講是說根本沒有閃的空間
transcript.whisperx[109].start 4468.805
transcript.whisperx[109].end 4476.219
transcript.whisperx[109].text 來 部長請說明一下日本有強迫不管是加裝防爆衝裝置或者是加裝防撞輔助系統等等
transcript.whisperx[110].start 4477.759
transcript.whisperx[110].end 4504.238
transcript.whisperx[110].text 我們未來有沒有思考這樣的方向這個部分我所理解的日本不一定是有強迫加裝啦但是我知道他們有補助補助加裝這方面的設備那我們也來研議一下日本他們的做法我現在得到的資料是高齡者的部分日本是有強迫加裝他們有補助啦我知道他們補助了九成那未來台灣要不要也進入這樣子的做法我們來參考他們的案例這才是治標啊
transcript.whisperx[111].start 4505.313
transcript.whisperx[111].end 4526.319
transcript.whisperx[111].text 治標 治本一起啊是 是 沒錯這個我們會參考他們的模式因為現在看到的狀況是大家也都在講說是不是道路設計有問題就目前為止交通部了解道路設計有沒有問題這個部分我們有了解過嗎如果說道路設計沒有問題那是不是就是在車輛上面駕駛人的行為
transcript.whisperx[112].start 4527.697
transcript.whisperx[112].end 4543.321
transcript.whisperx[112].text 不管他是肇事逃逸 他心生畏懼還是他故意想要逃離現場而假設加速逃逸還是他年長 誤踩油門還是他任何理由 但都不構成理由跟藉口因為三人已經天然永隔了
transcript.whisperx[113].start 4545.202
transcript.whisperx[113].end 4570.533
transcript.whisperx[113].text 但是他的刑責讓檢查單位他們好好去做釐清調查但我們現在要做的是我們怎麼樣未來能夠防範而剛剛部長有提到就是說當日本也好或是說其他國家都有針對車輛上的部分做防爆衝裝置的一個安裝補助也好強制也好或是說多少年齡要要求這才是配套啊不然你今天只是改一個75歲變成70歲那未來咧不只是75歲到70
transcript.whisperx[114].start 4575.075
transcript.whisperx[114].end 4600.659
transcript.whisperx[114].text 是我知道但是我只是說在車輛上面委員您在說的車輛上面是這個其實我們現在對於新車當然安全上面的限定是有的有要加裝一些安全的這個感知跟安全的系統這個都有但是對於未來年長者的駕駛的部分我們使用中的車輛要不要來補助或加裝這個我們來研議是不是一起在這三個月內您有講到三個月嗎是
transcript.whisperx[115].start 4600.999
transcript.whisperx[115].end 4621.172
transcript.whisperx[115].text 是不是在這三個月內當一起75歲變70歲然後相關的這個實地演練的制度一起出來的時候也把這個一起提出來我們科技防禦的部分我們也在這三個月裡面我們來做檢討國人在看是沒錯部長本席有看到520內閣來講哇你的滿意度很高啊
transcript.whisperx[116].start 4622.082
transcript.whisperx[116].end 4642.496
transcript.whisperx[116].text 是不是負評最低謝謝本期當然就期待的是交通部講的是專業我每次要講說交通委員會每次開會的時候只要後面沒有攝影機都是好事沒有發生事情嘛是但是現在發生事情我們要做檢討而你也提到了三個月內會把相關的配套給拿出來那我們當然希望是說連同你剛剛講到的
transcript.whisperx[117].start 4643.777
transcript.whisperx[117].end 4670.165
transcript.whisperx[117].text 仿照日本 學習日本 參考日本的制度日本有什麼好的制度我們來學習用在台灣身上讓台灣能夠更進一步的防止這個行人地獄防止這樣的憾事在發生可以嗎可以 這個部分我們來努力三個月內提出來好 我們來研議三個月之內來研議好 來 抱歉 趙偉我還有我問一下速發部好不好 抱歉速發部長 麻煩一下兩分鐘就好抱歉 趙偉 謝謝
transcript.whisperx[118].start 4672.089
transcript.whisperx[118].end 4694.988
transcript.whisperx[118].text 你已經超過很久了 再一分鐘好了好 謝謝今天五分鐘 但是三個部會我們有交通部 速發部跟工程會那麼重要來 速發部長詐騙廣告抓不完打詐指揮官520的時候希望跨部會主詐說跟臉書高層面對面溝通來 我先請教這是新聞喔 來下一頁
transcript.whisperx[119].start 4699.301
transcript.whisperx[119].end 4715.932
transcript.whisperx[119].text 首先警方講說有移交事務案給速發部審理並裁罰所以兩個禮拜前在交通委員會這邊的時候本席有問內政部到底有沒有移交相關的案件我們那時候應該是次長吧講說沒有收到這不是事實吧
transcript.whisperx[120].start 4716.692
transcript.whisperx[120].end 4744.405
transcript.whisperx[120].text 5月1號他是5月1號早上送到我們是5月1號早上資訊所以是資訊完回去才看到公文這麼巧對就是剛好那一天好那沒關係現在15案裡面已已給訴發部審理並且裁罰目前的進度那個我們經過跟檢警調開會在這個禮拜一開會以後我們會決定裁罰但是我還在進行行政程序裁罰誰就是meta裁罰臉書對meta為什麼
transcript.whisperx[121].start 4746.124
transcript.whisperx[121].end 4767.165
transcript.whisperx[121].text 就是有那個因為我們必須要落實使民制這一段確實是有因為剛講15個案子裡面再加上我們發現的一個案子雖然有一個案子確實有資料不全再加上我們自己發現的一個案子所以有兩個案子目前已經決定開罰但是這個還在走行政流程我們在短期之內就會做公告跟採訪
transcript.whisperx[122].start 4768.527
transcript.whisperx[122].end 4789.464
transcript.whisperx[122].text 本席實在不想講說汪洋補牢有未完已因為每天有多少個詐騙案件而到現在我們通過了打詐釋法2月才開始到位結果4月5月才從內政部移交案件到速發部速發部又在一個月左右的時間今天5月21號你說下個禮拜才要處理預計5月底處理結果才
transcript.whisperx[123].start 4793.087
transcript.whisperx[123].end 4821.986
transcript.whisperx[123].text 也不要講採兩個案啦你說國人有每天收到多少個詐騙多少一個月有幾百億的詐騙結果現在說要開罰兩個案但是有做是好事可是我現在在想的是如果連到現在打詐指揮官都在講是說希望能夠跟臉書高層碰面那我想請教那過去到現在我們都知道你的通報系統裡面九成
transcript.whisperx[124].start 4822.786
transcript.whisperx[124].end 4851.098
transcript.whisperx[124].text 來自Meta 詐騙訊息來自Meta那到底我們跟Meta是多麼不對等的關係我們隨時保持溝通 後面也有我們的系統在溝通所以剛剛講那麼多案子 為什麼只有採到這麼少因為叫他們下架 二十小下架他們都有配合那這個所謂的實名制 十五個案子裡面他們也都有 這樣只有一個案子資料不全 這個是我們要來 部長您再看一下第三段 現在上演
transcript.whisperx[125].start 4852.096
transcript.whisperx[125].end 4874.759
transcript.whisperx[125].text 第三段的第三行警方沒有人力一天到晚逐一檢視廣告其實這就重點了我們一直講的是說在詐騙廣告投放的時候它就是源頭源頭如果沒有管理的話你就會讓國人很容易接收到詐騙廣告而如果說這些都需要檢方再來逐一檢視廣告才去做通報
transcript.whisperx[126].start 4875.8
transcript.whisperx[126].end 4895.229
transcript.whisperx[126].text 那變成是我們的警方也好或是我們相關政府部門的人是在幫Meta做管理 廣告審查不是 照理講是如果說這個是詐騙廣告的話你Meta公司你要刊登這個廣告你就應該要有負責任不管是你自己的內機內控不管是你的相關的一個法務查核
transcript.whisperx[127].start 4896.209
transcript.whisperx[127].end 4924.475
transcript.whisperx[127].text 你放任這個廣告出來讓警方看到 警方看到之後再通報你然後你說24小時內讓他下架覺得說這個就是Meta已經有做到企業相關責任本末倒置吧就是我們目前法規是這樣子以後要不要修法再說但目前法規確實有這20小時的這個下架期那目前它是有符合的但是我跟委員講就是說也不是完全靠警政署我們用AI去掃描我們每天大概都可以掃描到就一個月
transcript.whisperx[128].start 4925.836
transcript.whisperx[128].end 4946.452
transcript.whisperx[128].text 過去這幾個月我們大概下架了4萬筆來部長我看到下一頁最後一分鐘我覺得我今天看到了你們的通報系統在上線之後我發覺一個很大的問題跟bug訊息處理流程各個民眾也好AI掃描也好給速發部速發部收到之後再給各部會確認
transcript.whisperx[129].start 4949.147
transcript.whisperx[129].end 4970.415
transcript.whisperx[129].text 不管這是公文往返或說這是確認的一個過程 系統確認然後之後再回來 然後再通知那這樣子會不會 速發部來講就還是算一個總機我是一個收案 然後我再給各部會確認但 本席 時間的關係 本席指建議真的是強烈的建議
transcript.whisperx[130].start 4971.946
transcript.whisperx[130].end 4993.456
transcript.whisperx[130].text 新加坡他們2019年成立跨部會的打詐中心就讓各部會有專職人員能夠進駐到同一個辦公室在同一個辦公室裡面大家共同針對詐騙的訊息來做一個討論那這樣子就可以縮短溝通的流程並且能夠及時的通知社群媒體平台來去做後續的處理
transcript.whisperx[131].start 4995.844
transcript.whisperx[131].end 5010.337
transcript.whisperx[131].text 2019年人家就已經有做了到現在2025年 6年過去了新加坡的打詐在國際上來講大家是認同的大家也看到它有實際的成效的我們能不能學習別人好的經驗
transcript.whisperx[132].start 5011.238
transcript.whisperx[132].end 5033.371
transcript.whisperx[132].text 我們會繼續改進 目前我們通報到各部位它的平均反應時間是一到三個小時所以已經已經比過去進步很多了那當然還有改進的空間我們會繼續努力讓這個整個流程會更順暢更快速 部長今天解凍本席對於速發部該用的預算沒有意見但是你最後的結語講的是還是以打炸
transcript.whisperx[133].start 5035.521
transcript.whisperx[133].end 5049.177
transcript.whisperx[133].text 積極推動打榨工作我們希望看到真的是積極看到是專業看到是真的有決心要做打榨能夠部會整合源頭管理而不是直接放任好嗎好 這個我們會繼續努力
transcript.whisperx[134].start 5055.195
transcript.whisperx[134].end 5069.748
transcript.whisperx[134].text 謝謝我們剛剛洪委員提到說有這麼多部門因為今天有三十幾位所以我想我們會尊重委員的花言也請委員尊重主席在控制時間以後希望大家互相尊重好謝謝我們請李坤哲委員謝謝昭緯請一下陳士凱部長陳文睿局長
transcript.whisperx[135].start 5082.79
transcript.whisperx[135].end 5084.952
transcript.whisperx[135].text 還有吳聲源吳董事長請部長還有交通部部長新北三峽發生嚴重的傷亡車禍社會大眾與受害者家屬同感傷痛
transcript.whisperx[136].start 5107.328
transcript.whisperx[136].end 5132.189
transcript.whisperx[136].text 當然現在相關的肇事原因不管是人為的因素個人的因素或者是車輛的因素相關單位都應該要積極的調查提早讓真正的真相讓社會大眾有一個交代那這一次的事件當中當然高齡駕駛跟換照制度成為社會嚴肅討論的一個焦點
transcript.whisperx[137].start 5135.091
transcript.whisperx[137].end 5149.656
transcript.whisperx[137].text 那其實我們來看世界各國主要國家對於這種換照制度我來做一個基本的盤點那我們看台灣、日本、韓國、美國、加拿大以及澳洲
transcript.whisperx[138].start 5150.396
transcript.whisperx[138].end 5172.274
transcript.whisperx[138].text 其實我們在我們目前的這個換照制度其實我們跟日韓在體格測驗以及認知測驗就是檢查項目這個部分大概是一致的但在入考的部分增加入考的部分特殊的狀況這個部分是有差異的我請教一下部長你的基本看法
transcript.whisperx[139].start 5173.015
transcript.whisperx[139].end 5189.814
transcript.whisperx[139].text 是 報告委員 這個部分也是大家都希望說能夠加強的部分所以在我們未來新的規範裡面我們在道路考試的部分其實我們針對這個有肇事記錄者我們就會增加入考的部分除了講習之外 再增加入考的部分
transcript.whisperx[140].start 5190.154
transcript.whisperx[140].end 5209.443
transcript.whisperx[140].text 好我們現在交通部目前公布的做法是換照年齡要從75歲下修到70歲這個是要修法的另外強化了檢測項目還有增加交通安全教育的課程以及對有肇事記錄者必須要增加這種實地的駕駛的訓練是駕駛訓練
transcript.whisperx[141].start 5213.325
transcript.whisperx[141].end 5229.953
transcript.whisperx[141].text 我具體的建議我們應該要參考日韓美澳等國來建立分階段的換照制度就是以不同的年齡例如70歲到75歲或是75歲以上的在那個年齡差異
transcript.whisperx[142].start 5231.013
transcript.whisperx[142].end 5246.707
transcript.whisperx[142].text 以及更重要是否有特定的違規項目來建立不同階段的換照的檢測項目例如增加入考或是特定違規樣態的這種課程來部長簡單說明一下報告委員這個部分我們確實應該分階段那這個部分細部的細則以委員這個建議我們在三個月之後會來提出來
transcript.whisperx[143].start 5256.868
transcript.whisperx[143].end 5264.713
transcript.whisperx[143].text 另外就是有關的 ADAS就是JAS的輔助系統這個我們應該協助民眾來
transcript.whisperx[144].start 5267.506
transcript.whisperx[144].end 5287.437
transcript.whisperx[144].text 加裝這樣的一個設備交通部應該更進一步的研議了在日本啊他們有補助高齡者駕駛啊購買有ADAS系統的新車這個部長也清楚加拿大2025年開始啊也強制這種新車要搭載部分的ADAS系統
transcript.whisperx[145].start 5288.317
transcript.whisperx[145].end 5315.073
transcript.whisperx[145].text 那歐盟他在一般安全法裡面新車配備要強制加裝ADAS系統那這種先進的駕駛輔助系統交通部的看法是如何來 部長是 報告委員我們跟歐盟其實是調和的所以我們的規範其實跟歐盟是差不多的也就是說我們的新車都有加裝ADAS的系統這個部分其實都有了
transcript.whisperx[146].start 5315.407
transcript.whisperx[146].end 5341.796
transcript.whisperx[146].text 那我們會要求這樣的高齡駕駛者來做處理這樣一個先進駕駛的輔助系統嗎報告委員其實新車的部分現在只要買新車都會有啦高齡駕駛者如果到時候使用者我們現在看到的大部分他駕駛的不是新車但如果委員這樣建議的話我們就朝這個方向我們來研議就是說對於高齡駕駛者的補助的部分購買新車讓他有更好的科技系統可以來做
transcript.whisperx[147].start 5342.056
transcript.whisperx[147].end 5363.41
transcript.whisperx[147].text 首先是要研究各國實施的這樣的一個成效我們再來討論是否要強制或是高齡者的這樣的一個加裝的必須性那第二個也必須跟社會來更廣泛的一個民意的討論另外我們對於要補助這樣一個加裝的費用是否要給予補助
transcript.whisperx[148].start 5364.45
transcript.whisperx[148].end 5382.84
transcript.whisperx[148].text 這個都交通部必須更進一步的來研議也盡快的向社會來公布另外就是有關於建立高齡者友善的這樣一個出行空間那當然交通部在昨天我有看交通部所做出的回應65歲以上的長者繳回駕照
transcript.whisperx[149].start 5387.222
transcript.whisperx[149].end 5407.727
transcript.whisperx[149].text 可以提供TPAS的月票補助另外也擴大針對65歲以上祭典達到三次或常見違規者會做加強關懷服務那這個部分我要提醒部長志願繳回高齡者駕照補助TPAS
transcript.whisperx[150].start 5408.86
transcript.whisperx[150].end 5424.002
transcript.whisperx[150].text 其實在雙北它的大眾運輸使用率比較高都有30幾%以上但是中南部都是個位數這樣的一個繳回駕照補助TBUS成效恐怕不會太高在中南部來說
transcript.whisperx[151].start 5425.003
transcript.whisperx[151].end 5450.341
transcript.whisperx[151].text 另外我是研議更進一步我們是否要提供每個月固定的次數或是金額這樣的一個公共小房就是說它這個補助金額是不累積的你用完就完了或是你沒用完下個月是沒有累積上去的這樣的一個公共小房的補助對中南部長者的出門會有比較實際的幫助
transcript.whisperx[152].start 5452.583
transcript.whisperx[152].end 5474.095
transcript.whisperx[152].text 那這個部分部長來說明一下好 報告委員我們第一個部分啦 志願繳回者我們補助TPAS這個部分我們會做那另外委員剛剛所建議的這個公共小黃尤其在中南部確實是有這樣的需求我們來研議看看看有沒有機會來提供這樣子的不累積的不累積的方式來提供這樣子的服務跟補助
transcript.whisperx[153].start 5474.835
transcript.whisperx[153].end 5497.762
transcript.whisperx[153].text 好另外不只換照的制度交通建設也關係到相關的這樣的一個民眾的安全那交通部報告有相關的不管是入口行人安全設施的改善或是校園周邊道路的改善以及公路局要進行入口的改善或是行人穿越道的退縮的改善以及行人專用實相機及早開實相的這樣的一個處理
transcript.whisperx[154].start 5502.603
transcript.whisperx[154].end 5521.356
transcript.whisperx[154].text 希望都能夠全力的督促盡快完成部長簡單說明一下好 報告委員這個部分我們盡量跟地方政府也好或者是內政部也好我們一起來努力加速推動民眾對於這方面的需求其實因應期盼那我們希望速度可以再更加快好 那另外最後一項就是我們
transcript.whisperx[155].start 5522.256
transcript.whisperx[155].end 5543.97
transcript.whisperx[155].text 還要強化學區周邊道路的安全設施我們對於強化學區周邊道路安全設施我們必須針對學區周遭的路段或是接送區沿線就應該要設置減速丘了然後針對學區周邊的人行創業道要設置庇護島以及入口來設置黃狀的路檔
transcript.whisperx[156].start 5547.011
transcript.whisperx[156].end 5554.458
transcript.whisperx[156].text 那協調有空間的校區在交通動線以外的地方設置安全接送區或者是封閉的車輛進行區來提供
transcript.whisperx[157].start 5558.381
transcript.whisperx[157].end 5577.776
transcript.whisperx[157].text 僅僅提供這些接送者的進入那當然我們交通部跟內政部有一個校園周邊及行車安全道路的改善計畫那內政部是負責校園周邊道路的安全的設計改善那交通部是有補助部分的經費
transcript.whisperx[158].start 5579.417
transcript.whisperx[158].end 5603.733
transcript.whisperx[158].text 而且是有交由各地方政府來執行這個要全力的督促部長來簡單說一下你的目標呢都市計畫區內當然就是內政部跟地方政府大家努力都市計畫區外我們會補助一部分這個部分那我們會來加速這個部分其實是現在民眾特別關注的尤其是通學廊道的部分我們會來加速來進行
transcript.whisperx[159].start 5605.07
transcript.whisperx[159].end 5631.462
transcript.whisperx[159].text 部長在昨天的基層會有初步說明我們對三峽這樣的一個嚴重傷亡車禍之後相關政策的一個改善但是必須在更快的時間之內提出相關的細節說明以及具體的目標讓社會大眾來了解交通部對於相關的血統安全社區的交通安全以及這樣的一個高齡駕駛議題必須要明顯的改善成效
transcript.whisperx[160].start 5634.704
transcript.whisperx[160].end 5643.32
transcript.whisperx[160].text 好沒問題謝謝委員好謝謝我們請傅根齊總召
transcript.whisperx[161].start 5659.013
transcript.whisperx[161].end 5665.419
transcript.whisperx[161].text 謝謝主席 請部長請部長陳部長陳部長 陳世凱部長部長好賴總統520就職週年蘇花鐵公路三天斷兩次
transcript.whisperx[162].start 5684.978
transcript.whisperx[162].end 5713.082
transcript.whisperx[162].text 這真的是賴總統在就職一周年帶給花東人民最直接他的成績單這種痛苦指數標高到無法言喻一個人均GDP三萬五千塊美金的國家竟然連一條能夠平安回家的路都沒有
transcript.whisperx[163].start 5716.291
transcript.whisperx[163].end 5736.341
transcript.whisperx[163].text 本席在這裡很好奇民進黨政府這九年來到底為花東人做了什麼本席在詢問你們他旁邊不要這樣子吧到現在部長還不了解嗎還需要你指導嗎那他當什麼部長呢我都還沒有問問題你們就開始在講 講什麼從去年0403大地震
transcript.whisperx[164].start 5747.179
transcript.whisperx[164].end 5775.501
transcript.whisperx[164].text 台八縣做了四條 四個民粹道來防止落實到現在為止本席請教部長一下 針對台九縣這個要如何回家短中長期的計畫一個月內能不能到花蓮來跟人民做個報告部長
transcript.whisperx[165].start 5777.02
transcript.whisperx[165].end 5790.896
transcript.whisperx[165].text 報告委員您剛所提到的道路的狀況跟人均GDP有多少不一定有相關去年的4月3號的地震委員也感受很深因為您也在現場
transcript.whisperx[166].start 5792.117
transcript.whisperx[166].end 5816.156
transcript.whisperx[166].text 那經過了這一年多其實有一千多次的餘震有千餘次的餘震那在那個路段確實也是相對脆弱再加上最近時常有短時強降雨的這個狀況所以有些土石流的狀況所以這個不是說政府不努力做政府有努力做但是這是一個天災天災在造成的結果我們當然要努力來想辦法克服
transcript.whisperx[167].start 5816.676
transcript.whisperx[167].end 5838.704
transcript.whisperx[167].text 所以跟委員報告這三天斷了兩次沒有錯但是公路局其實相當的努力像昨天下午4點多斷了8點多就馬上搶通我們的鐵路也相當的努力在前天雖然有中斷但我們有用12個小時的時間就已經搶通那今天早上也已經讓所有的車正常在運行
transcript.whisperx[168].start 5839.244
transcript.whisperx[168].end 5866.681
transcript.whisperx[168].text 其實這個部份交通部都相當努力在做那委員您剛剛所提到的如果是台九線的改善的計畫我們會盡快提供短中長期委員講得非常好短中長期其實都要列出來那一個月左右我們把一個短中長期的計畫跟委員來報告那個主席啊本席今天有讓部長充分發言的所以時間上上請斟酌好不好
transcript.whisperx[169].start 5869.824
transcript.whisperx[169].end 5897.763
transcript.whisperx[169].text 剛剛部長講得很清楚這個公路總局的人以及鐵路局的這些維修的這些搶救的這些工作人員他們都非常的勤奮都非常的把自己的生命都放在次要而為人民趕快做好搶通道路的工作
transcript.whisperx[170].start 5898.991
transcript.whisperx[170].end 5927.744
transcript.whisperx[170].text 那個是一線 第一線的工作人員他們做到他們該做的事情本席現在請教的是一個高層的部長 政策指導的部長你做到了什麼不要拿基層的工作人員他的用生命來為人民疏通道路來當作你的遮羞布本席請教的是政府的政策是什麼為什麼要讓第一線的人員要冒著生命的危險
transcript.whisperx[171].start 5928.968
transcript.whisperx[171].end 5958.488
transcript.whisperx[171].text 你的政策在哪裡本席問的是台八縣要做迷隧道為什麼台九縣到現在為止迷隧道要做幾個要怎麼做易崩塌路段一年一千多次餘震本席不了解嗎那你的應對政策是什麼台鐵就在邊坡旁邊一場大雨路就斷了這已經現在是生活的日常但你身為一個高層你的政策是什麼
transcript.whisperx[172].start 5959.89
transcript.whisperx[172].end 5987.01
transcript.whisperx[172].text 為什麼要永遠讓基層的這些搶救的工作人員要冒著生命危險這在上位者的失能才讓第一線的人永遠在那裡做這麼危險的一個搶救的工作一個月謝謝部長剛剛講了一個月本席才剛問你一個很簡單明確的本席講了多久
transcript.whisperx[173].start 5989.935
transcript.whisperx[173].end 6014.846
transcript.whisperx[173].text 講了多久下面該做寒管 該做排水這些都可以去做現在蘇哈公路已經是老生常談本席從來在交通委員會沒有去強烈的質疑你的專業性但是你起碼要有協調性
transcript.whisperx[174].start 6017.421
transcript.whisperx[174].end 6046.306
transcript.whisperx[174].text 要協調性當大家提出了這些民間的痛苦指數以及解決的辦法你起碼要予以尊重把你所有交通部下面的這些主管單位應該來做一個協調本席就照您剛剛說的你們很努力那本席請教一下蘇阿改跟蘇阿安蘇阿安什麼時候要動工
transcript.whisperx[175].start 6048.735
transcript.whisperx[175].end 6077.468
transcript.whisperx[175].text 更覺得源頭就是蘇安什麼時候要動工蘇安什麼時候要動工報告員目前都還在審議當中在哪裡審議目前在行政院審議當中行政院什麼地方審議在行政院審議當中那個國發會已經送出嘛到了卓榮泰院長辦公室桌上在卓榮泰院長辦公室桌上審議多久了幾個月了
transcript.whisperx[176].start 6078.732
transcript.whisperx[176].end 6104.405
transcript.whisperx[176].text 目前還在審議當中幾個月嘛到行政院多久了不知道這基本流程怎麼會不曉得呢委員現在還在審議當中對所以本席請教你嘛當然是可以政府的流程是公開的嘛有什麼好懼怕的呢審議流程到哪裡不曉得行政院哪裡行政院誰可以來審議嘛國安會已經送出了嘛您剛剛說的
transcript.whisperx[177].start 6106.428
transcript.whisperx[177].end 6133.799
transcript.whisperx[177].text 我們需要有協調嘛在這段時間這三天您可以問一下花蓮的鄉親您自己也有搭到啊我們在蘇運整體的計畫也很快速的就啟動三個小時之內就啟動您要到台北也都沒問題啊本席現在請教的你是蘇花安不是本席也有搭到我們會加速來演繹本席確實確實自己上網有訂到機票
transcript.whisperx[178].start 6134.847
transcript.whisperx[178].end 6163.286
transcript.whisperx[178].text 但是到了松山機場因為有更急迫的人 有醫院的需要本席昨天晚上把座位讓給他們我也沒有搭 所以今天在這裡本席現在再一次請問你蘇安的進度到哪裡在行政院的哪一個人的辦公桌上我再一次跟委員回答他現在正在行政院審議當中好 本席讓你看一下
transcript.whisperx[179].start 6166.068
transcript.whisperx[179].end 6174.573
transcript.whisperx[179].text 顏色不同且果大不同蘇發改行政院99年2月8號核定100年1月29號動工11個月蘇發案108年12月20號核定到現在還躺在行政院5年5年多了5年5個月了什麼時候要動工
transcript.whisperx[180].start 6195.629
transcript.whisperx[180].end 6222.038
transcript.whisperx[180].text 講不出來報告委員審議完畢之後我們會加速來動工樹花改已經做好了所有地質調查湧水通通都很清楚第一段做完了第二段是延續的第一段核定11個月動工可行研究第二段現在已經核定了5年多所以不是你的層級可以負責所以你不敢回答是嗎
transcript.whisperx[181].start 6223.854
transcript.whisperx[181].end 6249.847
transcript.whisperx[181].text 報告委員蘇花安跟蘇花改他的複雜度其實相當的不同內容也相當的不同所以所需要的時間當然也就不一樣本席就讓你直接就講明你不了解所以不了解才講這種外行的話嘛並不是不了解沒有關係啦你外行沒有關係但是所有的工程單位都已經核定的東西不要到部長嘴上你自己相當不送出去的
transcript.whisperx[182].start 6251.195
transcript.whisperx[182].end 6274.143
transcript.whisperx[182].text 你自己交通部都已經送出去你現在再來講很複雜本席說從你這裡從核定開始行政院核定可行研究到現在您剛剛在說的歷程五年那就是因為複雜可行性行政院核定可行研究核定之後舒華改國民黨政府執政十一個月動工內容內容不一樣
transcript.whisperx[183].start 6278.803
transcript.whisperx[183].end 6308.076
transcript.whisperx[183].text 沒有關係啦 你在狡辯沒有關係啦 本席在這裡只要選前是一張臉 選後是一張臉我們看一下西高鐵 東快鐵2020蔡英文總統參選政策白皮書然後在你任內 在你手上正式跳票
transcript.whisperx[184].start 6309.778
transcript.whisperx[184].end 6319.91
transcript.whisperx[184].text 選前山盟海市選後你家的市現在也沒有西高鐵東快鐵再過來前瞻計畫前瞻計畫花東雙軌在8400億的前瞻裡面收了269億在前瞻最後只用了62億消失了207億
transcript.whisperx[185].start 6329.694
transcript.whisperx[185].end 6353.054
transcript.whisperx[185].text 報告委員公務預算一樣有支出北京當然支套公務預算不要再狡辯嘛你本來就應該交通部公務預算做的嘛然後你把它納入前瞻8400億說3%用在花蓮8400億的前瞻那請問前瞻為什麼不用在花蓮報告委員這幾年交通部跟中央政府不要再強辯你要把你的協調性拿出來再過來
transcript.whisperx[186].start 6354.468
transcript.whisperx[186].end 6376.148
transcript.whisperx[186].text 前瞻消失了207億選前山姆海市選後你家的市花蓮七個危險平交道納入雙軌從蘇貞昌院長陳建仁院長到林佳龍部長王國才部長因為那是危險平交道而不是城市的縫合
transcript.whisperx[187].start 6378.376
transcript.whisperx[187].end 6401.163
transcript.whisperx[187].text 跟嘉義跟宜蘭完全不一樣 那是危險拼交道的解決問題中央行政院院長 交通部部長再三表達由中央納入 由中央概括承受現在你不能說陳金德一句話 整件事情重來這就是選前一張臉 選後一張臉選前三夢海是選後你家的事
transcript.whisperx[188].start 6402.403
transcript.whisperx[188].end 6413.727
transcript.whisperx[188].text 本席讓你喔 看一看啦到底有沒有良知良能啊 這個政府你看一下昨天花蓮是什麼樣子看看是什麼樣子看看是什麼樣子這樣的路能走嗎這樣的路能走嗎
transcript.whisperx[189].start 6437.03
transcript.whisperx[189].end 6461.857
transcript.whisperx[189].text 要讓我們公路總局的工作人員多麼的危險商會的人無知無能一線的工作人員多麼危險他們的生命財產他們的生命誰來保護用路人的安全在哪裡這還是一個政府還是一個國家嗎
transcript.whisperx[190].start 6463.004
transcript.whisperx[190].end 6490.995
transcript.whisperx[190].text 人均經濟三萬五三萬五代表什麼人均經濟三萬五美金代表什麼代表這是一個已開發的國家這種路要叫人走這種路要叫人走委員這是天災第一時間我們公務局天災兩次於人禍該有的防範措施早就該做好早就應該做好報告委員去年的地震您忘了嗎
transcript.whisperx[191].start 6492.503
transcript.whisperx[191].end 6513.519
transcript.whisperx[191].text 地震很大耶這樣子的天災我跟您報告我是來自於中部中橫在二十幾年前經過九月一到現在二十幾年你該做的事情不是在這裡狡辯是台八本席開宗明就告訴你台八線能做的事情為什麼台九線不好好地去規劃民隧道都講得這麼清楚
transcript.whisperx[192].start 6514.119
transcript.whisperx[192].end 6543.05
transcript.whisperx[192].text 本席好好的 再三地不說到講了多好吃我們尊重工程專業讓他們規劃什麼工程專業本席就是請教工程專業的專家告訴本席的他在這裡狡辯本席再請教一下剛剛幾個部會在講 包括交通部說業務費沒有凍結水電都繳不出來講了很久我一分鐘 講了很久
transcript.whisperx[193].start 6544.482
transcript.whisperx[193].end 6571.484
transcript.whisperx[193].text 本席請教一下陳士凱部長今天是幾號幾月幾號五月二十一號好立法院什麼時候會期開始什麼時候開始立法院本會期什麼時候開始的日期我沒有記得很清楚二月就已經開始了今天五月二十一號
transcript.whisperx[194].start 6572.864
transcript.whisperx[194].end 6592.703
transcript.whisperx[194].text 你們三個多月才把解凍案送來你在演哪出啊你們真的有這麼迫切這麼危急水利費繳不出來為什麼不早點送來呢為什麼不早點送來呢這麼簡單的道理你在演哪出啊委員因跟果要講清楚
transcript.whisperx[195].start 6594.352
transcript.whisperx[195].end 6609.059
transcript.whisperx[195].text 什麼叫因跟果你做你的專業工作就好你覺得應該要解凍你報告就應該送來你不要老是搞一些正式的動作不要在這裡交通部比去年多多少預算你在院會講的多了389億算什麼預算啊多了389億比去年多
transcript.whisperx[196].start 6616.653
transcript.whisperx[196].end 6640.11
transcript.whisperx[196].text 不要在這裡啊 在演啦 好不好那個 謝謝主席啊 本席還是要跟主席商量一下過去225席立委的時候我們可以問到晚上五六點 六七點本委員會10加2 非本委員會10分鐘225席的時候 現在113席4分鐘 5分鐘 有幾地方發生這麼重大的事情我要請這個主席見諒啦 我必須要表達 好不好 謝謝
transcript.whisperx[197].start 6652.022
transcript.whisperx[197].end 6655.143
transcript.whisperx[197].text 好謝謝我們請魯明哲委員好謝謝主席有請我們陳世凱部長請陳部長部長呼吸我們緩過來呼吸幾下再開始沒問題已經深呼吸三次了好我想這個直接進入
transcript.whisperx[198].start 6680.851
transcript.whisperx[198].end 6708.608
transcript.whisperx[198].text 最近大家非常關注的問題因為其實車禍車撞車相關的一些事故在台灣整個是蠻多的那最近連續三天發生了因為包括行車紀錄器各式的影片在網路上不斷的流傳讓我們全民覺得非常非常憂心尤其是行人的部分所以簡單來說近日從5月18號到5月20一天一起在網路盛傳影片的
transcript.whisperx[199].start 6709.128
transcript.whisperx[199].end 6734.043
transcript.whisperx[199].text 行人 甚至有一些在店面 我說我沒有出去走我在店面吃個早餐5月18號在花蓮市早餐店一輛車衝進去13人輕重傷 駕駛47歲5月19號在新北三峽 在國小前面3死12傷 那個真的是非常非常車速非常快讓大家都覺得這真的太離譜了駕駛78歲
transcript.whisperx[200].start 6736.644
transcript.whisperx[200].end 6756.602
transcript.whisperx[200].text 那昨天520搬在台南獄警很多影片新聞也出來了造成了一傷在獄警的一個老街那駕駛38歲我這樣列的這個意思啊事實上跟這個部長你昨天在談的其實有些車禍他一個狀況有時候是高齡他可能是一個
transcript.whisperx[201].start 6757.623
transcript.whisperx[201].end 6783.597
transcript.whisperx[201].text 因素但有一些其實跟年齡沒有關的一些駕駛的行為觀念甚至車輛因素甚至道路設計的因素啊所以看起來這三個尤其在報章媒體披露第一個有疲勞駕駛甚至獄警是不是有癲癇這個我們都還不知道有待查證但是我覺得不同的類型的這個部分有關於說不管是犯罪違法理賠的部分我覺得主要是
transcript.whisperx[202].start 6784.777
transcript.whisperx[202].end 6810.64
transcript.whisperx[202].text 檢警他們會處理那我們整個交通部門有這麼慘痛的一個經驗有沒有我們能夠做的是我們要去處理的一個問題啊但花蓮市是不是疲勞駕駛個人駕駛的一個因素是什麼520獄井獄井老街啊其實坦白講很美的地方那這麼多的這麼多的客人有纜車到那邊去逛街但是那邊的狀況有人行道都沒有
transcript.whisperx[203].start 6811.52
transcript.whisperx[203].end 6837.922
transcript.whisperx[203].text 你影片很清楚其實一半人是走在車道上面那這種狀況就是說駕駛當然不對嘛不夠小心嘛可是我們要求別人的觀光區只能呈現這樣的一個水準或是說對行人保障這個我是覺得我們可以去做一些事情因為它很多老街它有騎樓但是騎樓是為什麼不通呢那我現在針對於中間這一項因為昨天我有聽到部長
transcript.whisperx[204].start 6838.864
transcript.whisperx[204].end 6842.137
transcript.whisperx[204].text 部長你昨天這個有四個方向嘛你再說一遍好吧
transcript.whisperx[205].start 6843.526
transcript.whisperx[205].end 6868.857
transcript.whisperx[205].text 報告委員我們其實有幾個方向在做改革一方面我們將年齡下修到70歲您所關心的大概是年長者的這個駕照的換照的問題第一個部分是下修年齡那第二個部分是加強測驗的項目包含他對於危險的認知的測驗還有他一般的認知的測驗並且強化他的安全教育的課程我們希望他能夠參加講習至少半天以上
transcript.whisperx[206].start 6869.697
transcript.whisperx[206].end 6895.623
transcript.whisperx[206].text 那這個部分是加強測驗的項目那另外就是說針對如果年長者你年紀已經很大了我們會鼓勵他可以繳回他的駕照不要再開車那如果是這樣的話公共運輸的補貼我們以後來提供TPAS的這個補助那另外關懷的對象我們現在就可以馬上啟動不用等整個修法我們現在針對時常有違規或者是事故的第一當事人我們就會啟動關懷那甚至是協助他怎麼樣安全駕駛
transcript.whisperx[207].start 6897.093
transcript.whisperx[207].end 6922.772
transcript.whisperx[207].text 好 因為我聽到你的一個方向其實有兩項包括在駕訓 取得駕照的時候更為嚴謹這是沒有年齡限制的反正大家取得駕照可能是比較年輕的那回訓 對有違規回訓也是沒有年齡分配的嘛 對不對對 這個沒有年齡限制的問題所以你這個昨天提出來的政策是全面向的那我們請就5月19號因為大家最關注的
transcript.whisperx[208].start 6924.253
transcript.whisperx[208].end 6950.905
transcript.whisperx[208].text 幾個孩子的未來就這樣沒有了到底發生什麼事情當然駕駛人現在自己可能也在昏迷還沒有講清楚的一個情況之下如果目前初步來看如果沒有酒駕沒有獨駕然後車輛的問題不知道道路看起來有沒有什麼問題除這個之外駕駛的因素我覺得現在媒體披露的我覺得作為政策未來可以考量一下第一個
transcript.whisperx[209].start 6952.051
transcript.whisperx[209].end 6968.69
transcript.whisperx[209].text 我們目前收集到一個民眾的訊息他是違規的慣犯甚至像下面這張圖是停在人行道我不知道那是不是他固定了車位還是上次五年前出車禍的一個情況那像這樣的一個情況未來會不會在你回訊的這個範圍我不知道要什麼樣的車禍你才會要回訊
transcript.whisperx[210].start 6973.695
transcript.whisperx[210].end 6992.704
transcript.whisperx[210].text 那再來一次 是不是高齡駕駛在前一個路口就已經迴轉倒車 是不是躁逃那這個還要查最後一個可不可能是任何一個身心因素這個我說不準 是不是身體發生什麼事或是心理 是不是看到路就要罵人那種症狀
transcript.whisperx[211].start 6994.005
transcript.whisperx[211].end 7008.755
transcript.whisperx[211].text 那這種情況我覺得有需要調查但是這中間有很多因素我覺得有些政策是不是不需要等到發生的時候也許可以偵測到這個的部分那我現在請問你第一個目前高齡駕駛換照你們現在預計因為明年預計從75歲下修到70歲這是列管年齡的
transcript.whisperx[212].start 7017.381
transcript.whisperx[212].end 7041.803
transcript.whisperx[212].text 一個部分那我們看到其他的一個國家有從65歲開始當然啦也有70歲的到韓國可能對大概65歲就開始大概70那在台灣下修這個符合一般的一個標準但是第二個你要不要一併考量因為現在你還沒還要繼續考量那換照的間隔的年限就是從70歲每三年換一次
transcript.whisperx[213].start 7042.981
transcript.whisperx[213].end 7065.332
transcript.whisperx[213].text 然後80歲會有像丹麥他可能到80歲以上每一年就要去換一次因為可能身體的一個變化會更大那這個部分你們會不會去考量這個間隔的年限會不會一命考量這個我們認為這個間隔的年限要有分級以年齡來做分級那這個部分我們會細部來討論怎麼樣的年齡的分級是比較合理的我們也會跟醫學單位大家一起來做諮詢
transcript.whisperx[214].start 7066.96
transcript.whisperx[214].end 7081.514
transcript.whisperx[214].text 我也是建議你要分級一下分級一下可以參考一下第三個是患照的檢測的嚴謹度因為時間不夠我就直接說了以目前來看因為你們要改變目前來第一個是基本的體檢
transcript.whisperx[215].start 7082.555
transcript.whisperx[215].end 7096.711
transcript.whisperx[215].text 基本體檢為了幾個單位啦包括公立醫院包括衛生所還有部分的一個特別診所目前就基本啦身高體重量一量視力有沒有色盲 變色力 聽力 血壓大概基本的這個SOP
transcript.whisperx[216].start 7097.672
transcript.whisperx[216].end 7124.937
transcript.whisperx[216].text 檢查一遍但其中有一個呢是我們法定規定的說是不是有重大疾病我就問一下衛生署我的天啊你重大疾病你怎麼去檢測因為有一些又沒有拿到傷病卡的可能不見得適合的價值他其實是沒有辦法他說我只能去看目前的部分只能去看那這個的部分能不能增加這種東西不管是身心的這個疾病我覺得你們要一併去考量
transcript.whisperx[217].start 7125.737
transcript.whisperx[217].end 7140.222
transcript.whisperx[217].text 第二個認知功能的一個部分測試三個的部分那我就不要再重複了但是目前的情況總分是22分那你只要拿到10分即可 OK出去開車再開三年
transcript.whisperx[218].start 7141.502
transcript.whisperx[218].end 7164.094
transcript.whisperx[218].text 如果我們考試只得45分給他看10張圖只要記得3張OK 及格那這個部分從民國106年到現在7到8年的時間啦是這個部分我覺得你們要去思考一下思考一下尤其你現在不是要加入這個危險認知對不對對 危險感知測驗
transcript.whisperx[219].start 7166.895
transcript.whisperx[219].end 7192.121
transcript.whisperx[219].text 危險感知測驗但是危險感知測驗我真的一個良心的建議不要再公佈題庫了就是時中大家練了一天來這邊畫給你看其實對啦有意義啦就是你好歹這個穩穩的照抄要抄得出來我理解啦抄都抄不出來太危險了可是你危險感知一個臨時性的他的你知道嗎臨場感你不要又是題庫去練我覺得總要有一兩項
transcript.whisperx[220].start 7193.161
transcript.whisperx[220].end 7206.213
transcript.whisperx[220].text 我們那個有現場測試他的反應速度的那會不會有題庫啊那個不會有題庫啦真的嗎你現在全部都有題庫喔那再來你危險感知的一個部分啊你現在的目前檢測以桃園市113年總共
transcript.whisperx[221].start 7209.036
transcript.whisperx[221].end 7237.176
transcript.whisperx[221].text 有這個特約醫院8311人他去特約醫院檢查啦體檢啦 認知測驗就特約醫院啦他們那個可能服務比較好啦那公立醫院跟衛生所公家單位大概只有7.3%啦現況所以你現在的意思說在決定政策的時候到最終的執行者以目前來看九成都是特約醫院假設你要相關的一些設備相關的場域如果要的部分請你要把這個併入政策
transcript.whisperx[222].start 7238.257
transcript.whisperx[222].end 7247.997
transcript.whisperx[222].text 那最後一個問題部長還是市長你回答一下是不是這個認知功能測驗一定要做
transcript.whisperx[223].start 7249.389
transcript.whisperx[223].end 7274.684
transcript.whisperx[223].text 是不是一定要做跟委員報告一下認知功能其實這套認知功能基本上就是失智的一個檢測方式啦那這個在70歲以上的這一個部分的話失智的一個風險是必須要做考量的那但是這個就是說我們在三個月裡面針對這個整體體格檢查項目跟還有這個部分的話我們整體這樣諮詢一下那個專業醫學會的一個意見
transcript.whisperx[224].start 7276.545
transcript.whisperx[224].end 7305.559
transcript.whisperx[224].text 因為今天最主要是因為你們要做一個決策我才針對高齡提供一些完整的一個建議給你們做一個思考那我覺得現在你們這個法條很多人都以為說這個幾歲要透過立法院修法其實不是嘛這道交條例第79條第一項授權給你們交通部跟內政部來訂定相關車輛啊怎麼去弄啊駕照怎麼換那都你們內部的一個規則你們部行政院通過就可以了
transcript.whisperx[225].start 7306.339
transcript.whisperx[225].end 7326.246
transcript.whisperx[225].text 所以這個部分在過去幾年你們怎麼樣去做我不清楚但是這個規則你們定的規則第52之1條跟52之2條尤其52之2條是針對於普通駕照我們現在在談的不是職業的普通駕照你們很明確的規定喔你現在講感知功能測驗你在這個測驗裡面要加
transcript.whisperx[226].start 7328.393
transcript.whisperx[226].end 7341.633
transcript.whisperx[226].text 那個什麼危機 危機的概念危險感知危險感知危機感知嘛那我可以不測啊 如果你法條我不要啊 我不要選這一項啊因為你法條的規定很清楚嘛做認知功能測驗或
transcript.whisperx[227].start 7343.596
transcript.whisperx[227].end 7364.027
transcript.whisperx[227].text 或提供這個未達失智症終極的也就是說我看你維新你去加吧你再加100項我不做你這一項如果我意思是說你如果法條你都沒有去做調整他可以選A或者B但是我事實上真的蠻擔心的
transcript.whisperx[228].start 7366.23
transcript.whisperx[228].end 7391.945
transcript.whisperx[228].text 現在一般的駕駛你們的一個概念就是說只要沒有中度失智症就可以但是這到底符不符合我希望你們跟專家學著在現在的消動環境你再去這是他們本身一個團體的關懷就是如果輕度會有什麼症狀包括遺忘包括了誤認包括了迷路包括了情緒轉變暴躁有意不定這個
transcript.whisperx[229].start 7394.273
transcript.whisperx[229].end 7411.648
transcript.whisperx[229].text 這個可是現在我們不管的你即使這樣的事如果是輕度一樣可以換照只要沒有中度就可以而且如果拿到沒有中度這個證明的話也不用去做認知一個功能測試甚至你這個的部分我覺得在法條上面
transcript.whisperx[230].start 7412.469
transcript.whisperx[230].end 7426.843
transcript.whisperx[230].text 你們自己的規定啊 不用通過我們是不是完全考量 部長你說一下報告委員 這個部分齁您的提醒很好齁我們一定會在未來在修訂整套這個方案的時候讓它能夠完善齁 就是說不要說讓大家有選擇啦選擇這個選擇那個這個在法條上面該怎麼樣防範 我們會來注意謝謝委員
transcript.whisperx[231].start 7439.975
transcript.whisperx[231].end 7462.524
transcript.whisperx[231].text 等一下林俊憲委員諮詢完我們休息那休息之後開始的時候我們就處理臨時提案現在請陳書業委員謝謝主席 請主席邀請陳部長請陳部長
transcript.whisperx[232].start 7472.858
transcript.whisperx[232].end 7489.791
transcript.whisperx[232].text 委員好部長早安我們看到在前天就是禮拜一的下午就是在三峽北大國小前面有一輛車子疑似暴衝所以造成了三人死亡然後十二人重傷的這樣子的一個重大車禍事故這個車禍事故傳出之後當然舉國嘩然因為看到兩個年輕的小學生這樣子一個年輕的生命就這樣消逝真的是讓人非常的不捨跟難過
transcript.whisperx[233].start 7501.34
transcript.whisperx[233].end 7505.805
transcript.whisperx[233].text 那因為這一個肇事者就是一個78歲的一個駕駛所以也讓大家對於這個高齡駕駛就是有一些關注那確實我們也看到就是有關這個道安的一個統計就是在這個高齡的發生車禍事故的一個數據確實是增加的
transcript.whisperx[234].start 7523.903
transcript.whisperx[234].end 7538.513
transcript.whisperx[234].text 因為我記得在三次委員會報告的時候部長有特別報告說目前的交通事故是下降的整體來說是下降的對 整體數字是下降的可是以分別的統計數字來看高齡者發生車禍事故
transcript.whisperx[235].start 7542.475
transcript.whisperx[235].end 7566.915
transcript.whisperx[235].text 造成死傷的卻是增加的那所以當然這個也就是讓我們對高齡者的交通安全包括駕駛就是有特別的一個關注跟檢討那我們也看到部長昨天傍晚也特地召開記者會針對高齡駕駛有一些精進的一些方案是不是請部長再簡單說一下好了報告委員確實我們對於整體的駕照管理
transcript.whisperx[236].start 7569.697
transcript.whisperx[236].end 7593.877
transcript.whisperx[236].text 我們都要做一個精進的這個努力那其實社會現在比較關注的是高齡駕駛的部分就像委員剛剛所提到的那這個部分我們會在三個月之內會提出更細緻的方案但初步來說我們會比較學習跟參考日本的經驗因為日本比台灣更早邁入超高齡社會他們的高齡駕駛的問題其實也是相當受到社會的關注
transcript.whisperx[237].start 7594.557
transcript.whisperx[237].end 7621.272
transcript.whisperx[237].text 那這個部分第一我們把年齡降到70歲換照的年齡降到70歲這是第一點那第二點我們加強他的測驗的項目包含認知的測驗那是過去就有做那我們現在要加強這個講習教育講習的部分至少要半天那另外危險感知也是我們未來會加進來的還有就是說年長者他的四肢的靈活度的這個測試這也是未來我們會加強的
transcript.whisperx[238].start 7621.952
transcript.whisperx[238].end 7647.831
transcript.whisperx[238].text 那另外其實您跟我都來自中部我們有時候我們的地方比較鄉下老年人如果有需要公共運輸的時候他如果願意繳回他的駕照不要再駕駛如果他年紀比較大不適合駕駛繳回他的駕照的話我們針對這個TPAS公共運輸的補助我們也會做那我們來自於比較鄉下的地方有些地方需要幸福小房幸福巴士這個我們也會加強來
transcript.whisperx[239].start 7648.792
transcript.whisperx[239].end 7652.853
transcript.whisperx[239].text 公共運輸當然就是都必須配套因為畢竟對比較偏向的地方這個對高齡者他們如果還是有駕駛能力的話他們還是有這個需求那我們看到各國其實對高齡駕駛啊他們都都是一樣有一樣這個比較嚴格的一些管理的一個辦法那我們就是說針對在三峽發生這個車禍事故因為事後有網友挖出說這一個
transcript.whisperx[240].start 7677.378
transcript.whisperx[240].end 7689.192
transcript.whisperx[240].text 肇事者其實他有劣跡斑斑也有前科就是說他之前就有不良的肇事紀錄就是駕車衝撞上人行道撞傷婦女跟嬰兒車
transcript.whisperx[241].start 7692.996
transcript.whisperx[241].end 7713.966
transcript.whisperx[241].text 所以就是針對這種有違規紀錄的中大違規紀錄的我覺得說這個應該就是說在換照的時候應該要特別的嚴格因為我們看目前的辦法好像我們我國好像沒有針對這部分有特別的要求那日本這部分他就有就是說有照試紀錄的就是要在特別經過駕駛能力的一個測驗這個我們未來也會加進來
transcript.whisperx[242].start 7717.407
transcript.whisperx[242].end 7740.419
transcript.whisperx[242].text 對 我覺得這一項就非常的好所以這個也是值得我們學習的一個地方那另外就是說因為這件事高齡駕駛那因為在昨天又發生了一件台南的預警也是一個爆衝的車禍事故所以也是讓我們覺得說好像感覺在路上真的是危機重重 沒有什麼安全感
transcript.whisperx[243].start 7740.899
transcript.whisperx[243].end 7756.031
transcript.whisperx[243].text 所以我覺得這部分也是值得我們要去全面的檢討就是說除了高齡駕駛之外對於這個駕駛的一些監理因為其實之前我有關心過這個要價的一個部分就是
transcript.whisperx[244].start 7757.072
transcript.whisperx[244].end 7780.841
transcript.whisperx[244].text 服藥之後就是說有一些疾病或者是說因為感冒就是吃了藥之後可能對一些反應能力會比較緩慢這部分是不是未來我們也要去加強可是這部分應該是要跟衛福部去配合吧就是說對於就是生病剛好有服用某些藥物的時候是不是他在藥袋上要特別去強調說不宜駕駛
transcript.whisperx[245].start 7783.382
transcript.whisperx[245].end 7800.5
transcript.whisperx[245].text 因為我覺得說其實這些車禍事故我們還是要再回歸到四一的觀念就是教育監理還有工程設計還有這個就是執法這個都是要全面去配套的就是
transcript.whisperx[246].start 7801.421
transcript.whisperx[246].end 7810.35
transcript.whisperx[246].text 因為不能只單一個問題就是去解決那個問題我覺得這也沒辦法全面解決所以可能就是要去全面檢討所以就是說就這兩三天的這些車禍事故除了就是說這個監理就是高齡駕駛的這個
transcript.whisperx[247].start 7817.496
transcript.whisperx[247].end 7833.844
transcript.whisperx[247].text 在更精進之外那像昨天的這個爆衝事件有可能它是不是因為有這個慢性病的問題那這個也就是涉及到另外一個用藥的一個問題那還有就是說在這個車輛的設備上因為像日本好像他們針對高齡者有就是補助他們去裝置反爆衝的一個裝置
transcript.whisperx[248].start 7843.049
transcript.whisperx[248].end 7856.605
transcript.whisperx[248].text 可是我覺得這個裝置也不一定限於高齡駕駛因為是不是這部分也可以去普及說落實到這個所有的車輛就像剛剛我們李昆哲委員有提到的這個ADS的這種
transcript.whisperx[249].start 7857.985
transcript.whisperx[249].end 7886.449
transcript.whisperx[249].text 輔助駕駛的這個部分不曉得部長的看法如何其實ADAS的系統我們在112年之後應該新車的部分我們跟歐盟是一樣的同步的一個規定也就是說新車其實現在都有那現在大家比較關注的其實是開舊車的年長者他們的部分有沒有辦法去加增這個我們來研議看看因為每一國的處理的方式不太一樣我們參考別國的模式然後我們自己來想辦法來看要怎麼加強
transcript.whisperx[250].start 7887.089
transcript.whisperx[250].end 7911.959
transcript.whisperx[250].text 對 像這種車輛設備的一個加強就是可以不限任何類型的駕駛人可以讓這個車輛駕駛更安全現在新車都有對 那個工程的部分的話可能就是說針對校園附近的工程道路設計是不是要再去加強再落實我想這個都是值得我們再去深思檢討的部分是好 謝謝部長謝謝委員
transcript.whisperx[251].start 7924.912
transcript.whisperx[251].end 7936.247
transcript.whisperx[251].text 好 謝謝 我們請林俊憲委員好 感謝主席 本席邀請我們交通部陳部長請陳部長
transcript.whisperx[252].start 7944.844
transcript.whisperx[252].end 7972.771
transcript.whisperx[252].text 部長 這幾天 部長好大家都在關心發生在新北市的這個重大車禍它是發生在一所學校附近嘛是不是對 它是在學校附近那我看從剛剛到現在以及交通部在事件發生以後所宣布的我們通通都是針對駕駛人我們不希望這種悲劇再發生但交通部目前所提的對策都是針對駕駛人
transcript.whisperx[253].start 7975.387
transcript.whisperx[253].end 7996.419
transcript.whisperx[253].text 第一個我們希望盡快調查出真正肇事的原因是真的因為年紀太大嗎?是生理的因素嗎?還是心理的因素?因為你也不了解每一個人的身體狀況又不一樣跟年齡又不一定直接相關還有就算你年輕一點胡亂開車也會有
transcript.whisperx[254].start 8000.56
transcript.whisperx[254].end 8011.819
transcript.whisperx[254].text 黑白開車的都有啦你可以訂一個法規就可以減少胡亂開車的嗎當然希望可以降低啦但不可能完全沒有所以我今天要講的跟你討論的是另外一種不一樣的
transcript.whisperx[255].start 8014.352
transcript.whisperx[255].end 8036.49
transcript.whisperx[255].text 就是 那我們要把路口設計好啦把道路設計得好一點啦歐北開車你沒辦法騙人啦但是我們的道路政府該做的 把路弄好的話就絕對可以大幅降低悲劇的發生啦你知不知道 發生在澳門附近學校附近是一個 都沒有把它定義為什麼區你知道嗎
transcript.whisperx[256].start 8038.342
transcript.whisperx[256].end 8045.691
transcript.whisperx[256].text 你可能不了解齁2023年啦那時候你還沒來交通部齁叫做通學區啦
transcript.whisperx[257].start 8047.093
transcript.whisperx[257].end 8069.662
transcript.whisperx[257].text 交通部訂學校附近150公車 依賴 道路 都叫做同學區啦以前學校附近的同學區 哪個部會在規範 內政部啦那有的是交通部 所以很亂啦後來交通部在2023年 頒布一個校園周邊人行空間改善參考指引
transcript.whisperx[258].start 8070.382
transcript.whisperx[258].end 8078.143
transcript.whisperx[258].text 整合很多單位的意見我看你這個職營是北京啦針對好酒瓶喔下到最好最完整的
transcript.whisperx[259].start 8079.192
transcript.whisperx[259].end 8105.277
transcript.whisperx[259].text 但只可惜喔指引就是指引 你沒有強制力啦就心北市以這個悲劇發生我們要去檢討 不是只檢討架數啦 說他規範太老啦他要架就要換怎樣怎樣 你要檢討為什麼既然是學校 老師 學生 家長那些都會很多人在那裡出入你道路安全 你要按照一定的規範來做
transcript.whisperx[260].start 8107.267
transcript.whisperx[260].end 8119.685
transcript.whisperx[260].text 我們台灣的大陸交通相關的規範大部分都超日本那日本的經驗好我們當然要學習嘛日本也有類似規範就設定為一個特區就同學區啦
transcript.whisperx[261].start 8123.277
transcript.whisperx[261].end 8143.787
transcript.whisperx[261].text 所以你要有什麼樣的措施第一個 你絕對會有物理性的設計啦降低它的速度比如說 豪暴公車來 那是在九龍寶庭的一百五十公尺以內 都是通學區所以它的道路喔 日本的顏色就不一樣讓駕駛 開車開到這裡你就知道說 我來到豪暴旁邊了對你啦 它會有物理性的減速的設計啦
transcript.whisperx[262].start 8152.723
transcript.whisperx[262].end 8159.834
transcript.whisperx[262].text 讓你車要開就開不快因為同學區啦 交通部的設計 你有的規範是30公里而已 時速30啦 最高到50啦時速到30是要怎麼開
transcript.whisperx[263].start 8164.619
transcript.whisperx[263].end 8191.986
transcript.whisperx[263].text 很容易操作嘛你就要有一些物理性的東西設計 它不就沒辦法開快對不對甚至有斑馬線 因為孩子身高比較低嘛它斑馬線是電高 給你孩子過馬路的時候 駕駛看得到都是同學區特殊的設計啦甚至啊 路條上做給你寫我歪啦給你開不快啦學校圍牆邊的道路 你看我給你看啦
transcript.whisperx[264].start 8192.623
transcript.whisperx[264].end 8220.254
transcript.whisperx[264].text 這是日本人的設計啦你要學日本就要學好學人家的長處日本把學校周邊的道路你看那個斑馬線顏色不一樣那個道路顏色不一樣對你喔還有一些減速球讓你開不快路彎像這個很明顯那稍微設計一個彎度讓孩子家長平凡進出的地方你速度沒有加快
transcript.whisperx[265].start 8221.118
transcript.whisperx[265].end 8242.736
transcript.whisperx[265].text 今天大家都在這裡檢討教室不是老就身體壞啦不是老就後悔開車啦什麼年紀都會亂開車啦要把政府該做的事情做好啦那交通部竟然訂出這個校園周邊人性改善參考空間規範同學區怎麼做那縣市政府為什麼不做呢這新北區政府很明顯的啊嚴重失職啊
transcript.whisperx[266].start 8248.516
transcript.whisperx[266].end 8275.285
transcript.whisperx[266].text 很多地方政府啦 我相信不是只有新北市而已啦所以交通部應該要把這利用喔 現在民氣可用啦把這些縣市政府喔 你應該開一個專案會議啦檢討同學區啦因為學校周邊是最危險任何國家交通規範最嚴格一定在學校附近啦因為學校一定附近啦 小朋友一定會有家長 老師 所以
transcript.whisperx[267].start 8276.564
transcript.whisperx[267].end 8292.864
transcript.whisperx[267].text 你要把各縣市政府叫來啊大家要依照規範來做啦因為你頂了這一個人的職位而已嘛不然你提高到衛健 提高到行政命令來檢討對各地方政府的補助嘛你同舊機給我做好 我就請給你嘛
transcript.whisperx[268].start 8295.12
transcript.whisperx[268].end 8323.286
transcript.whisperx[268].text 是不是這樣 老部長你幹嘛呢好 報告委員 目前內政部國土署其實也有這麼做他們對於這個地方政府來要求或者是申請通學區的整體的改善計畫的補助裡面都有把這些所謂物理改善的部分有列入重要的要執行的部分對 我們只能盡量要求我再給你看案發的地方照片來看一下學校這個花城橋你要看 你看這裡啦 這人行道嘛
transcript.whisperx[269].start 8324.689
transcript.whisperx[269].end 8351.543
transcript.whisperx[269].text 完全沒有物理性的阻隔嘛所以你們要去弄到這哪裡 這哪裡 你看他稍微做半套的通學區啦 你看一般也是顏色不一樣對不對問題是他沒有聯合安全維護性 那個所謂我剛才你看那個物理性的設計嘛那完全沒有啊這邊啊 這邊啊這個是清災 交差了事嘛我們再看下一張給你看
transcript.whisperx[270].start 8353.567
transcript.whisperx[270].end 8373.468
transcript.whisperx[270].text 標線型的人行道就是為你投卡動作人行道你倆的物理性阻隔做不一樣嗎對物理性的阻隔的部分內政部國土署他們最近也會來研議這個問題未來對地方的這些改善然後你們就去趕快要利用這段期間限制政府會乖乖做的時候趕快去做出該做的事情
transcript.whisperx[271].start 8374.537
transcript.whisperx[271].end 8391.223
transcript.whisperx[271].text 另外換照 檢討老人確實我們對老人價值大家 部長你自己也有說因為台灣是個高齡化社會 台灣的老人價值會快速的增加現在一百八十幾萬 十年後就變兩百八十萬
transcript.whisperx[272].start 8393.829
transcript.whisperx[272].end 8416.319
transcript.whisperx[272].text 十年內會增加一百萬七十歲以上的老人駕駛啊所以對老人駕駛日本就有針對這個地方有做很完整的政策規範台灣都抄日本那你就抄好報告員目前就是學習日本日本的高日本還有全世界駕照沒有在換照我看台灣是很少數國家之一啦你有沒有知道我們古北高腳
transcript.whisperx[273].start 8419.602
transcript.whisperx[273].end 8439.787
transcript.whisperx[273].text 18歲那你目前規定幾歲換照有效期限都五十幾年75歲所以如果我18歲考上駕照我到75歲我才需要換照我可以去看一些新的交通規則這當中那漫長的五六十年有什麼新的交通規定號誌標線啊
transcript.whisperx[274].start 8442.008
transcript.whisperx[274].end 8457.855
transcript.whisperx[274].text 都要你有注意啦不然你都不知道18歲到75歲就算你把他降到70歲啦也是很久啦對不對18歲到75歲你才可能有機會去碰觸到新的交通規定
transcript.whisperx[275].start 8459.261
transcript.whisperx[275].end 8479.285
transcript.whisperx[275].text 要有一些新的耗資 他們說我們可能開車機會比較少你現在做部隊 無所謂的 你自己路邊注意看一看標線耗資你根本看不到 跟你以前考駕照 炸了天差地遠啊所以日本喔 日本的駕照有分級 有分性啦它有綠色駕照 藍色駕照 金色駕照 細節我沒時間講啦
transcript.whisperx[276].start 8482.606
transcript.whisperx[276].end 8493.316
transcript.whisperx[276].text 你不要因為一個車 你的頭痛醫頭 腳痛醫腳你如果要頂這個換照制度 你頂得好誰換照你本來不是認知測驗 看一些交通規則 不是這樣它日本還有實車測試的甚至於它有專門設計給老人開的車輛 來我給你看一下
transcript.whisperx[277].start 8503.609
transcript.whisperx[277].end 8527.366
transcript.whisperx[277].text 一本規範到這麼細喔 輔助車輛限定駕照不是剛剛立委幫你回答的輔助駕駛電腦系統 不是啦這種車就專門設計給老人開的啦他的煞車系統 他的加速系統 他的警示系統都特別設計而且這個腳腳 老人啦 這個腳腳 任何人都可以啦 不僅老人你只能開這種車
transcript.whisperx[278].start 8530.202
transcript.whisperx[278].end 8548.69
transcript.whisperx[278].text 這種輔助車輛限定的駕照你只能開這種輔助車你不能開一般的車因為一般的車設計性能跟這個安全性都不一樣因為有的地方不是都有T-pass可以坐啦對 沒錯你像我們台南正開的路人要坐多久坐公車就很困難啦
transcript.whisperx[279].start 8552.366
transcript.whisperx[279].end 8563.346
transcript.whisperx[279].text 對不對 像這個就可以贏啦這開不快啦來裝避車比較安全嘛 對不對而且他的安全設施很多啦而且駕照是特別的啦
transcript.whisperx[280].start 8564.606
transcript.whisperx[280].end 8586.692
transcript.whisperx[280].text 所以你換照 你要不要分級換照 制度 我希望你能頂幾度的出來啦我認為全世界目前對老人駕駛最先進的規範就是日本因為日本的老人化是世界上那麼重要的 現在台灣比日本還嚴重所以我們要趕快 這方面我們趕快追上來 好不好好 部長 好 辛苦啦 這個一定要做好 感謝主席
transcript.whisperx[281].start 8595.29
transcript.whisperx[281].end 8596.43
transcript.whisperx[281].text 好 現在休息十分鐘
transcript.whisperx[282].start 8762.91
transcript.whisperx[282].end 8763.763
transcript.whisperx[282].text
transcript.whisperx[283].start 9243.427
transcript.whisperx[283].end 9258.595
transcript.whisperx[283].text 現在開始開會等一下我想跟那個時間的那個掌握請那個我們大概時間到了就響鈴那每隔一分鐘再響鈴一次那也請那個諮詢的委員能夠控制一下時間現在處理臨時提案請議事人員一併宣讀第一案
transcript.whisperx[284].start 9275.687
transcript.whisperx[284].end 9294.058
transcript.whisperx[284].text 臨時提案1.114年5月19日新北市三峽區高齡駕駛汽車失控暴衝的重大交通事故原請交通部通盤檢討現行高齡駕駛管理機制以及高齡者叫車津貼補助方案包括高齡駕駛換駕駛徵定可撤出其駕駛及反應能力的機制增加誘因鼓勵長者繳回駕照
transcript.whisperx[285].start 9300.542
transcript.whisperx[285].end 9326.769
transcript.whisperx[285].text 並提出配套保障高齡者的基本移動權在一個月內提出報告及行動方案提案人委員廖先祥等臨時提案二建議公共工程委員會及交通部應督署所屬計地方政府交通路政機關建樹辦理採用新型冷辦再生鋪面材進行道路鋪設工程並採用逐年增加百分之二十之使用量
transcript.whisperx[286].start 9327.429
transcript.whisperx[286].end 9356.695
transcript.whisperx[286].text 落實政府循環經濟政策及資源循環利用目標以符合氣候變遷因應法第四條國家溫室氣體長期減量目標為中華民國139年溫室氣體淨零排放為達成前項目標各級政府應與國民事業團體共同推動溫室氣體減量發展副排放技術及促進國際合作提案人委員游浩等宣布完畢
transcript.whisperx[287].start 9360.358
transcript.whisperx[287].end 9375.632
transcript.whisperx[287].text 第一案那個交通部有沒有什麼意見跟主席還有委員報告那針對第一案的一個部分的話剛剛有跟這個廖委員有報告也取得同意就是最後一句在三個月內提出素面報告及行動方案
transcript.whisperx[288].start 9376.434
transcript.whisperx[288].end 9404.891
transcript.whisperx[288].text OK 同意OK 謝謝 那個第二案工程會跟主席及各位委員報告那有關這個提案 剛剛有跟交通部還有跟政委員 提案委員 政委員報告那因為這個是新材料 那所以建議刪除這個最後一段的第四行並採用逐年增加百分之二十之使用量逗號這幾個字
transcript.whisperx[289].start 9408.127
transcript.whisperx[289].end 9433.096
transcript.whisperx[289].text 刪除 刪除 刪除剛剛報告的那幾個字那有跟政委員和交通部報告過好 現在那個公布完都沒有問題那第一案那個委員有沒有意見沒有意見 OK 謝謝那第二案有沒有意見沒有意見 好 那我們修正修正通過
transcript.whisperx[290].start 9435.353
transcript.whisperx[290].end 9458.772
transcript.whisperx[290].text 好 那臨時提案處理完畢 如有委員對上述提案補簽內容紀錄並刊登公報現在繼續選打我們請黃建豪委員好 謝謝主席 主席我們請交通部陳部長請部長
transcript.whisperx[291].start 9467.626
transcript.whisperx[291].end 9483.196
transcript.whisperx[291].text 部長早部長我想大家還是非常關注昨天前兩天發生的意外昨天也有一起在台南也發生類似的爆衝的狀況所以行車安全跟行人安全的部分都是本席上任以來也非常關注當時我也記得你剛剛
transcript.whisperx[292].start 9486.218
transcript.whisperx[292].end 9506.037
transcript.whisperx[292].text 剛剛擔任部長的時候我也期許說我們人本交通能夠作為你部長認的一個重要的政績我們先看一張圖 這個是我在臉書叫行路無虎口看到的一個圖 剛好在回應這個新的事件那這是一個瑞士氣死理論你看到其實昨天會發生 前兩天會發生這個78歲的高齡駕駛衝撞
transcript.whisperx[293].start 9510.423
transcript.whisperx[293].end 9531.172
transcript.whisperx[293].text 針對性的衝撞不管是這個學童也好還是這個機車駕駛人也好它是一連串的失誤發生導致了這樣的結果那包含說我們現在對駕駛人們迴避的制度那嚴重違規有沒有要太處還有高齡駕駛怎麼管理跟學區道路安全設施每一項每一項我想在不同的單位質詢的時候大家都提過
transcript.whisperx[294].start 9531.972
transcript.whisperx[294].end 9549.539
transcript.whisperx[294].text 相關的建議跟概念但就是可能是每一個段落都有一點缺失缺失缺失最後導致了這個三峽事件這個的結果那我們回到今天討論一個主題我想大家就先關注所謂的高齡駕駛管理因為部長你昨天提到要從75歲降到70歲那我們看到各國的標準
transcript.whisperx[295].start 9552.23
transcript.whisperx[295].end 9576.828
transcript.whisperx[295].text 我想你參考的日本的標準是從70歲開始訂那各國當然都不同的標準我想韓國 新加坡 英國 義大利等等大家都有不同的標準跟規範那義大利比較嚴格他從50歲設為一個區間50到70 70到80 80以上等等的那我們現在好像是只是針對目前是75以上那當然你說要改到70以上這部分我對年齡本身沒有太大的意見要70歲 75歲 65歲 60歲都可以但我
transcript.whisperx[296].start 9580.791
transcript.whisperx[296].end 9591.184
transcript.whisperx[296].text 比較有意見的是什麼是針對這個換照的規定部長你很清楚現在不管75歲或是你要把他下修到70歲他換照的這個標準我們看現狀就好我們看現狀這個認知測驗
transcript.whisperx[297].start 9598.462
transcript.whisperx[297].end 9624.318
transcript.whisperx[297].text 基本上我也做了一下測試認識測驗部長很清楚嘛基本上就是問你今天幾月幾號星期幾你在哪裡然後再來就是問十張圖記得三張圖就可以了然後最後畫一張這個我畫得比較醜啦就是畫個時鐘嘛就這樣然後就通過了我想對 太醜了對不起畫得比較醜但是這我認識是沒問題的所以這樣我就能夠取得所謂的70現在是75歲未來70歲的這個駕照我就能夠取得駕照繼續開車
transcript.whisperx[298].start 9628.499
transcript.whisperx[298].end 9651.624
transcript.whisperx[298].text 那我昨天 前兩天發生的事情之後我想這兩天我也收到很多的陳情 很多的中年子女來跟我陳情說他們希望我們在換照制度上能夠更確實就如同他們 他們也陪他們父母去做這個測試啊有些子女是不同意 不希望他的爸媽七八十歲還去開車
transcript.whisperx[299].start 9653.407
transcript.whisperx[299].end 9669.558
transcript.whisperx[299].text 那這個爸爸媽媽會跟他講說啊 夠改就給我改一下我就通過了啊我就開開心心的上路我就大大方方的上路我加上是取得我是換照取得的但是因為他們有參與到這個過程就是去測試這個過程所以他們知道說這個測試就只做這些測驗
transcript.whisperx[300].start 9672.48
transcript.whisperx[300].end 9694.485
transcript.whisperx[300].text 連新的交通法規包括我們現在強調行人優先人們交通就是文化的問題不管是法規問題還是相關的文化問題並沒有在重新換照的過程裡面讓他重新去受到訓練受到教育他就只是把這個認識我確定他沒有失智確定他有基本的辨識能力他的體檢沒有什麼太大問題那就讓他上路了所以不知道部長這個
transcript.whisperx[301].start 9695.945
transcript.whisperx[301].end 9712.964
transcript.whisperx[301].text 你把70歲降到70歲這部分我沒有什麼太大意義但是問題是這個內容未來要不要調整還是要怎麼調整這個部分我其實昨天的記者會說明當中也有報告過這個部分我們會來做調整包含他的認知功能測驗的內容還有再加上危險感知的能力的測驗這個也會加進來
transcript.whisperx[302].start 9715.006
transcript.whisperx[302].end 9736.133
transcript.whisperx[302].text 那另外就是針對他的四肢的靈活度這個也會加進來那另外委員您剛剛有提到就是說有沒有需要再重新訓練我們也會把講習加進來至少要參加半天的這個交通安全的講習的訓練也就是說他駕駛能力的訓練必須要把它強固起來那這個部分在未來的修正當中都會來加入
transcript.whisperx[303].start 9736.961
transcript.whisperx[303].end 9753.908
transcript.whisperx[303].text 我昨天看到你講的說比如說重新駕駛重新入考訓練等等是針對可能有肇事記錄的人對有肇事記錄的就必須要實地訓練我們會實地訓練就是讓他實際上開車然後我們的這個考官也好或者訓練官也好就會在旁邊看他實際開車的狀況
transcript.whisperx[304].start 9755.589
transcript.whisperx[304].end 9774.38
transcript.whisperx[304].text 那我這個換照的部分我想問說今天換照的部分是對這個高齡駕駛不管是定70歲還是後來會修正系數或怎麼樣所謂的重新換照它是重新就像我們重新考就像我們當年18歲考駕照一樣嘛它是一個重新開始的做法它是只是針對這幾項通過就可以因為
transcript.whisperx[305].start 9775.04
transcript.whisperx[305].end 9787.414
transcript.whisperx[305].text 我還要講其實真的到七八十歲他重新拿駕照的時候他的法規不是全面重考啦不是全面重考就是我們所訂的那幾項測驗他必須要通過他必須要通過通過了之後我們就會給他駕照
transcript.whisperx[306].start 9788.308
transcript.whisperx[306].end 9814.522
transcript.whisperx[306].text 那你們什麼時候會提出大家關心時程嗎三個月之後我們會來提出好那我們先等你提出來我們再來看怎麼檢討啦好那回到這除了個人之外我想很多是政府的工程面我們之前 包含我們之前也提到了包含說緩速坡或是說行人穿越道等等的這部分我們在其他的業務質詢裡面也都提到如果學區附近有所謂的緩速坡那可能以三峽的事情為例即便它是蓄意的
transcript.whisperx[307].start 9815.622
transcript.whisperx[307].end 9829.834
transcript.whisperx[307].text 可能他的造成的傷害也不會這麼嚴重所以到底什麼時候才要真正的把所謂的緩速波 減速波把他列入法規裡面這之前有問過了現在國土署他們有跟有訂新的方案因為其實地方政府
transcript.whisperx[308].start 9830.595
transcript.whisperx[308].end 9851.247
transcript.whisperx[308].text 做這個通學步道的部分跟通學道的部分他們的申請的那個經費是來自於國土署那國土署現在已經有把這個列為是重要的項目他們必須要把這個設計進來列為他們未來願不願意補助或補助多少的一個標準我們希望這個是把它列到法規啦不要說只是說這個政策現在
transcript.whisperx[309].start 9852.797
transcript.whisperx[309].end 9871.583
transcript.whisperx[309].text 陳部長支持 隔壁劉部長支持所以我們就做那未來如果萬一其他人上來當部長或其他人當局長的時候這個東西就不了了之了所以我們需要把它入法有一個指引那主要在市區裡面主管是地方政府那國土署是協助他們補助的部分當然交通部也會補助一部分
transcript.whisperx[310].start 9872.483
transcript.whisperx[310].end 9898.766
transcript.whisperx[310].text 那這個部分其實我們三個單位必須要大家來協商來協議那我們也會盡量說服並且要求他們在物理上面的防範的作為要再更加強那我所知道的是內政部國土組他們已經有在研商這件事情那希望未來更有強制力地方政府有一個可以依循的方向好 主持人這要盡快最後一分鐘 剩下最後一分鐘而已來剛剛講的這些都是物理的問題還有一個就是針對車輛本身
transcript.whisperx[311].start 9900.347
transcript.whisperx[311].end 9925.956
transcript.whisperx[311].text 美國這兩天之前有發布一個規定說2029年他們說銷售車輛必須配備所謂的自動緊急煞車系統當然現在市售有些車子他們已經標榜說這個有自動緊急煞車的功能了所以它可能價格稍微再高一點但是美國是有直接另一個法規是2029年他們所有市售車輛都要往這個方向來推進那這個可能就能夠完完全全的去解決這種蓄意的
transcript.whisperx[312].start 9926.596
transcript.whisperx[312].end 9953.579
transcript.whisperx[312].text 因為我們現在訂的所有法規都是針對正常的一般的普通的狀況但昨天那個 前幾天那個事情看起來很像蓄意但我沒有證據 只是說假設有人蓄意要衝撞的或是上個月發生在其他城市那種蓄意衝撞的那種衝撞路人的這種行為如果今天車輛每個車輛他都有裝所謂的自動警警煞車系統的話他是不是就有機會在物理上科技上來避免這事情發生我不知道我國有沒有去考慮參考美國的意見去做這樣的
transcript.whisperx[313].start 9954.58
transcript.whisperx[313].end 9970.967
transcript.whisperx[313].text 報告委員其實我們現在的新車跟歐盟的規範是一樣的在民國112年開始我們對於新車的這些安全科技的規範有一定的要求這個部分其實已經有放進去所以現在我看大部分的新車應該車上都有這樣的設備了我說自動緊急煞車
transcript.whisperx[314].start 9973.319
transcript.whisperx[314].end 9984.54
transcript.whisperx[314].text 自動緊急煞車當然偵測沒問題吧就是我雷達或什麼會嗶嗶嗶的那今天如果有人刻意的去做這個事情他的車輛本身有沒有自動緊急煞車系統能夠做呢
transcript.whisperx[315].start 9987.123
transcript.whisperx[315].end 10008.949
transcript.whisperx[315].text 車輛技術都是日新月異在這個發展那這個法規也在發展那有關於AEBS的部分在聯合國法規裡面先大車或小車那大車我們導入那小車現在正在導入跟這個歐盟的這個規範是一致的我們希望盡快納入因為我是覺得別的國家既然有這個參考也有這個時程表出來了那我們是不是也能夠快點訂出相關的時程表跟法規好不好好謝謝
transcript.whisperx[316].start 10017.073
transcript.whisperx[316].end 10018.915
transcript.whisperx[316].text 好 謝謝 我們請何欣淳而言好 謝謝趙偉那我們是不是請陳士凱部長請部長
transcript.whisperx[317].start 10036.377
transcript.whisperx[317].end 10054.009
transcript.whisperx[317].text 部長最近辛苦了但是每一件事情我們都要給他做好我想今天早上大家都很關注就是三峽高齡駕駛肇事的問題我也非常肯定部長在第一時間昨天有開記者會
transcript.whisperx[318].start 10055.43
transcript.whisperx[318].end 10083.673
transcript.whisperx[318].text 那有推三支箭呢希望能夠痛定思痛的來做改變因為事情發生了我們要如何去亡羊補牢讓未來能夠不要再讓這個悲劇重演我想這個是我們執政的責任那這個責任呢我想要有很多的配套措施雖然你推了三支箭但是每一支箭裡面的一個配套措施我不知道部長
transcript.whisperx[319].start 10085.034
transcript.whisperx[319].end 10111.951
transcript.whisperx[319].text 未來在這半年內因為這三事件您說要下半年度來執行我們希望115年115年所以115年離現在大概還有半年多的時間那半年多的時間我們如何去盤點如何去找配套又如何規劃時程我覺得需要部長再更進一步的來交代我想國人都在等待這樣子的改革不是只有
transcript.whisperx[320].start 10113.172
transcript.whisperx[320].end 10127.487
transcript.whisperx[320].text 說一下而是能夠真正的執行到位那我為什麼會特別這樣子講這個歡照年齡要不要下修那部長已經宣布了那我覺得宣布了那我們怎麼做做得好因為過去我也曾經
transcript.whisperx[321].start 10128.588
transcript.whisperx[321].end 10142.974
transcript.whisperx[321].text 在質詢台上質詢交通部這個換照制度呢這個我們的監察院就曾經糾正過這個高齡駕駛的換照制度沒有全面實施管理只做半套那現在下修的年齡同樣的我們還是有問題要去面對跟解決
transcript.whisperx[322].start 10147.236
transcript.whisperx[322].end 10162.322
transcript.whisperx[322].text 那如何分階段的來解決管理不要只做半套我覺得這個部長也應該在接下來這半年間好好的跟我們行政單位跟學者專家研議如何的來處理這第一件事
transcript.whisperx[323].start 10162.862
transcript.whisperx[323].end 10189.133
transcript.whisperx[323].text 第二件事情我們要配套就是要鼓勵要讓我們的高齡駕駛長者對交通駕駛規定規則安全的認知雖然部長在三字件裡面提到一個對70歲以上自願繳回駕照者提供T-pass的補助剛剛其他很多委員都在關心的是T-pass是比較類都會或是都會型
transcript.whisperx[324].start 10189.793
transcript.whisperx[324].end 10213.169
transcript.whisperx[324].text 的高齡者比較會使用的那偏鄉地區我們有很多的不同的多元化的一個交通運具的補助來來解決那我希望不是只有這樣子因為更進一步的我必須要提醒部長我們現在TPAS的一個政策成功但是我們並沒有進一步的去盤點運用AI大數據的一個原理去盤點出什麼我們現在的使用者的樣態分析
transcript.whisperx[325].start 10220.653
transcript.whisperx[325].end 10246.505
transcript.whisperx[325].text 我們現在有的都只是一個大的數據譬如說我爬樹到的台中彰化南投跟苗栗地區從2023年7月1號開始約有48萬人次使用T-pass我們的通勤月票搭乘客運台鐵捷運等等3900萬人次是優惠搭車的常客我們的爬樹的數據的掌握度直到這裡為止
transcript.whisperx[326].start 10247.645
transcript.whisperx[326].end 10257.465
transcript.whisperx[326].text 在這個48萬人是使用Tpass裡面到底又有多少是屬於高齡者在使用有嗎 我們有這樣的數據嗎
transcript.whisperx[327].start 10260.045
transcript.whisperx[327].end 10287.85
transcript.whisperx[327].text 這個部分報告員您的提醒其實應該是要做啦我們把它去識別化之後應該要把整個數據去分析說我們使用的年齡是哪些年齡這個絕對我們現在的技術一定做得到一個一個大數據的一個分析來作為政策的依據或是未來政策的走向這個是本來就是現代的一個行政體系該有的一個做法現在運研所他們有一個專案正在做這件事情
transcript.whisperx[328].start 10289.07
transcript.whisperx[328].end 10313.591
transcript.whisperx[328].text 運研所的專案都很慢啦部長我現在要求是你們第一個要有效率第二個要運用科技 第三個要有分析為依據嘛如果當我們說要做TPAS的一個補助那鼓勵繳回這個高齡者繳回駕照可是你在這之前你完全不知道現在在使用TPAS裡面的高齡者到底有多少使用比例
transcript.whisperx[329].start 10314.972
transcript.whisperx[329].end 10318.457
transcript.whisperx[329].text 那你如何去定定未來的補助跟鼓勵那你這半年內做得到嗎
transcript.whisperx[330].start 10325.889
transcript.whisperx[330].end 10346.582
transcript.whisperx[330].text 應該是可以啦應該是可以好不能說應該是可以是你一定要做到因為你已經宣布了三支鍵了其中一支鍵就是要我即便沒有這個數據這個政策還是可以做得到的是好那有數據為依據的話是讓你自己知道說我這樣子補助到底有沒有成效所以第一個如何補助
transcript.whisperx[331].start 10349.259
transcript.whisperx[331].end 10370.047
transcript.whisperx[331].text 我們是針對T-pass的假設目前他T-pass可能要花一千塊那我會再補助一定的金額讓他取得T-pass的那個成本不要這麼高這個部分是我們目前在研議的方向目前在研議的方向就是對於高齡者如果使用T-pass應該要鼓勵他運用這個公共運輸啦應該這樣子講啦就是說不要自己開車啦可以用公車啦、巴士啦、捷運啦
transcript.whisperx[332].start 10378.45
transcript.whisperx[332].end 10391.685
transcript.whisperx[332].text 台鐵啦 我們就鼓勵他用這個嘛 對不對好 那你鼓勵 那所以說就是第一個金錢上每一位高齡駕駛者的只要申請T-Pass的一個優惠價優惠票價再鼓勵他再讓他 比如說他把它台中的話是299那你可能再給他優惠變成250
transcript.whisperx[333].start 10399.753
transcript.whisperx[333].end 10405.997
transcript.whisperx[333].text 是這樣的方式嗎?對,是這樣的方式,沒有錯但他必須要繳回駕照,就是不要再開車跟直行車我的意思是說你要把這個三支鍵裡面的每一支鍵裡面的配套還有補助的方式執行的方式我覺得也都要讓國人清楚其實我昨天有說得蠻清楚這個補助的方式可能媒體他寫的那個範圍比較沒有寫到好,那第二個
transcript.whisperx[334].start 10426.807
transcript.whisperx[334].end 10436.811
transcript.whisperx[334].text 我認為這個宣導的方式應該要更多元跟生活化我在上一次的質詢的時候就已經提過了就是說上次我還記得這個次長還會有說他爸爸也是高齡駕駛要跟他溝通有時候他很固執說不動那我那時候還跟我們的次長講說那我們要
transcript.whisperx[335].start 10448.576
transcript.whisperx[335].end 10468.463
transcript.whisperx[335].text 跟長者溝通就要用他們聽得懂的方式跟語言嘛對不對所以我們的宣導方式要多元跟生活化那以我們現在有沒有下去盤點檢討我們現在的宣導的方式那不是死板板的只是在念法條給他聽嘛那譬如說我們助理我們老人家喜歡看什麼
transcript.whisperx[336].start 10470.424
transcript.whisperx[336].end 10492.675
transcript.whisperx[336].text 那有沒有辦法那個置入行銷是利用生活中的戲劇老人家常接觸的一個管道去置入宣傳我覺得這個是一個必須要用頭腦用心去想的一件事那又比如說我們高齡駕駛未來我們的管理制度裡面是不是針對譬如說五年八年它那無招式
transcript.whisperx[337].start 10494.156
transcript.whisperx[337].end 10504.947
transcript.whisperx[337].text 無違規那我們是不是有一個表揚類似啦 這個都是你必須去想的一個宣導方式讓高齡者的駕駛對於這個第一個交通規則第二個
transcript.whisperx[338].start 10508.991
transcript.whisperx[338].end 10530.264
transcript.whisperx[338].text 道路上的行駛的一個安全的一個規則第三個對習慣不良的習慣是不是應該導正第三個在增進他的知能認知的各項的功能方面呢我們都能夠提供一個安全的一個用路的一個環境而且讓他能夠的感知認知能夠做到
transcript.whisperx[339].start 10531.604
transcript.whisperx[339].end 10547.729
transcript.whisperx[339].text 對不對 部長是 沒有錯 我覺得這個建議都很好 我們都會來參考所以我再拜託啦 其實我接下來還有那個標誌標線標誌標線我覺得 我簡單講一下啦標誌標線是在交通部1月有提一個指引啦但是呢 我們看到1到4月相關的違規
transcript.whisperx[340].start 10550.942
transcript.whisperx[340].end 10568.187
transcript.whisperx[340].text 還是增加了25%第一個為什麼會增加當然是主觀的違規 故意的違規 我不知道或者是我們自己的標誌標線的一個號誌的指引不清我相信網路上大家討論過很多譬如說光是紅綠燈號誌的叭叭咒
transcript.whisperx[341].start 10570.828
transcript.whisperx[341].end 10589.623
transcript.whisperx[341].text 大家看不懂那開在路上的時候我的感知認知哪些燈可以左轉哪些是直行又可以左轉哪些那不行那我這裡只舉了五個樣態每個樣態其實我都不知道這四個燈裡面它的指引方式是什麼那
transcript.whisperx[342].start 10592.11
transcript.whisperx[342].end 10610.023
transcript.whisperx[342].text 我們雖然已經有指引了 無所適從因為不知道 所以我不是故意違規而是因為不知道而被開罰單 而被檢舉這個東西一國多制我是建議部長 你自己可以去看一下你生活中你自己也會開車
transcript.whisperx[343].start 10612.005
transcript.whisperx[343].end 10638.722
transcript.whisperx[343].text 我只舉一個例子你們自己的一個規則裡面214條禁止圓綠燈跟箭頭綠燈同時顯示但是又允許例外設置所以有的會殺人 有的不會殺人到底誰說了算甚至連警察在判讀的時候都會誤判基層員警理解不一所以導致取締標準不同
transcript.whisperx[344].start 10640.024
transcript.whisperx[344].end 10655.627
transcript.whisperx[344].text 這個呢 其實都是民怨之來源那如果為了我們的交通安全那我們自己的一個設施號誌標線 設置設施的這樣子的一個指引我覺得要更明確啦那宣導要更多啦 好不好好 以上謝謝委員謝謝 我們請廖先生 委員
transcript.whisperx[345].start 10674.144
transcript.whisperx[345].end 10679.518
transcript.whisperx[345].text 好 謝謝主席喔 一樣請王部長陳部長請陳部長今天都你喔
transcript.whisperx[346].start 10683.669
transcript.whisperx[346].end 10697.883
transcript.whisperx[346].text 副長 這個當然三峽事件大家很關心那噪音其實到現在都還沒確定因為反正他人也還沒有出院那只是說在大家在猜測可能噪音的時候許多人都會討論到高齡駕駛的這個問題那也在這個因為事件過後被積極的討論不過我們交通部在
transcript.whisperx[347].start 10704.809
transcript.whisperx[347].end 10729.296
transcript.whisperx[347].text 邏輯上啦還是我認為當然社會事件發生之後我們總是要一些回應但是我們的做法有時候還是要有一些邏輯性的根本解決問題比如說你說部長說這個肇事率最高的不是高齡駕駛嗎結果我們卻是調整高齡駕駛的這個換照的年齡那其實這十年來這個長者的身體的健康一定比這個規定是十年前訂的對不對
transcript.whisperx[348].start 10730.276
transcript.whisperx[348].end 10743.336
transcript.whisperx[348].text 那現在75歲的長者一定比10年前75歲長者還來得健康嘛一定的嘛 但是你沒有下修年齡所以有時候感覺是好像好像為了呼應或符合社會期待去做一些調整
transcript.whisperx[349].start 10745.379
transcript.whisperx[349].end 10770.112
transcript.whisperx[349].text 那我還是希望說我認為最重要到最重要的是不是這個年齡重要的是我們的考照制度跟換照制度能不能確保每一個用戶人他都應該要有這個安全駕駛的能力這才是重點這個制度檢測的制度才是重點那檢測制度這個東西我想部長昨天有大概記者會說過我想就靜待你們的一個消息但只是社會期待一定是要持續的來加嚴那我今天想跟部長討論的是後續賠償的一個問題賠償當然是
transcript.whisperx[350].start 10775.055
transcript.whisperx[350].end 10798.501
transcript.whisperx[350].text 賠償當然是這個監管會是主管這個相關的強制險是監管會主管但是強制險強制險會有這個上路是為了我們的交通安全而定的那包括我們的大安匯報也都討論到強制險這件事情所以我也希望說藉由這件事情來檢視我們的強制險有沒有調整的一個必要因為在這一次的事件很明確的強制險
transcript.whisperx[351].start 10801.122
transcript.whisperx[351].end 10808.745
transcript.whisperx[351].text 沒有辦法cover掉這一次的損害相關的一個賠償我們現在看應該不是機車 應該是汽車也是這樣子那我們有三位的A1A1有三位的離開那最起碼就三位了但是我們現在的保險制度卻只有
transcript.whisperx[352].start 10819.089
transcript.whisperx[352].end 10839.033
transcript.whisperx[352].text 每人就是兩個上限嘛 每人200 那總事故是400那其實這個已經都over掉了那我會建議啦 可不可以因為我們的這個強制險的一個調整已經上一次調整已經2012年了那包括它的物價指數 已經可能跟現在都有已經跟不上了 以前的200萬跟今天的200萬已經不一樣了那我想從1998年就有陸續在調整 都有依據物價在調
transcript.whisperx[353].start 10843.854
transcript.whisperx[353].end 10865.529
transcript.whisperx[353].text 那我也建議說經過十多年的那相關的一個強制險的一個精神就是要有一個給付的一個社會的一個保險的一個概念嘛不能over掉嘛那我希望說能夠再做一個調整那另外一個部分是我們的因為我們的強制險是定額的保險公司也不賺錢不賺錢我們不是用賺錢的精神來看它是定額的包括理賠上限跟我們的保費保費當然是有一個會調整啦但是原則上基準是一樣的
transcript.whisperx[354].start 10873.174
transcript.whisperx[354].end 10885.806
transcript.whisperx[354].text 那我們可不可以把我們的考照或者是換照的精神把它移入到強制線裡面去比如說我們換照我們會有一個分數我們會有一個點數我們現在可能是我記得七項評點嘛四點就換嘛對不對那我們以後可能可以把這個Range拉大一點可能100分嘛
transcript.whisperx[355].start 10892.833
transcript.whisperx[355].end 10921.886
transcript.whisperx[355].text 那我們允許你60分就換照我們允許你60分換照 這就是基本但是你還沒到100分你60分 70分 80分 到100分你在強制險可能你在值60分低空飛過的時候你強制險的額度我們可能就不只是200萬我們會要求你提高到比別人高1.1倍 1.2倍 等等的那包括你的分數比較低的時候我們在保費的計算上我們會現在還是會有一些事故率的一個計算或是性別 當然現在性別可能要拿掉啦
transcript.whisperx[356].start 10922.406
transcript.whisperx[356].end 10941.349
transcript.whisperx[356].text 就是每一個人他還是會有一些變因去影響你的保費那我也希望說在未來我們在換照的時候依據不同的分數我們去克與他不同的一個這個繳費的一個這個評點的分數啦這樣的方向我不曉得原則上的方向部長認不認同
transcript.whisperx[357].start 10942.563
transcript.whisperx[357].end 10971.491
transcript.whisperx[357].text 報告委員這個我們要來討論因為這個影響的層面其實蠻大的那不過是一個蠻好的建議這個部分我們來討論一下看要怎麼進行但是您剛剛所提到的這個保費的這個根據我們的物價指數理賠上限這個部分我們會跟金管會來討論來跟他們討論來研議看有沒有要再往上再因為這相對起來是最簡單的因為已經十多年已經十多年沒調了現在來調相對起來大家不會覺得說很奇怪
transcript.whisperx[358].start 10972.151
transcript.whisperx[358].end 10995.557
transcript.whisperx[358].text 那另外一點就是把我們的評鑑換照的制度裡面的一個評分納到我們的保險的一個保費的一個級距標準裡面去看或者是分數低風略過了我們要求他保費提高其實你去增加他就是技術講直接一點啦技術比較不好的你要他花更多的一些錢去繳保費說不定他就不會送了嘛他不開心了說不定他就
transcript.whisperx[359].start 10996.597
transcript.whisperx[359].end 11021.993
transcript.whisperx[359].text 說不定你反而也可以讓篩選到一些他就覺得說我也沒那麼常開車那我何必要繳那麼多的稿費那他的技術可能也不是那麼好所以希望說當然一部分我們的考車制度一定要去精進之外那把它結合到強制險裡面那包括強制險的一個物價指數的調整我也希望說未來我們的大安匯報院長主持了嘛院長主持了那跨部會協調我希望說我們交通部有相對應的一個立場把這個方案都討論進去好
transcript.whisperx[360].start 11024.754
transcript.whisperx[360].end 11026.455
transcript.whisperx[360].text 好那就謝謝部長謝謝主席好謝謝我們請蔡奇昌委員
transcript.whisperx[361].start 11049.43
transcript.whisperx[361].end 11056.612
transcript.whisperx[361].text 謝謝主席,請陳部長跟...請陳部長觀光署周署長周署長委員好部長無安吼是
transcript.whisperx[362].start 11068.417
transcript.whisperx[362].end 11087.746
transcript.whisperx[362].text 今天剛好速發部也在所以我想我們就可以就一些AI的題目來進行一些探討那我看了一下 觀光署其實也跟得上潮流他也設立了一個叫歐雄AI小幫手的一個平台署長應該有啦 署長你自己測試過這個平台沒有
transcript.whisperx[363].start 11089.267
transcript.whisperx[363].end 11109.169
transcript.whisperx[363].text 我們有請同仁一起測試因為我們現在是希望能夠疫情之後把AI也協助旅行業旅館業希望能夠帶動所以我們自己本身也在試的一個小平台我也知道啦就是說第一個我覺得我肯定光屬跟得上時代潮流
transcript.whisperx[364].start 11110.111
transcript.whisperx[364].end 11119.647
transcript.whisperx[364].text 也知道AI未來的運用可以幫忙大家做很多的事情所以你們也開始嘗試做一點測試但是這個是上限的平台
transcript.whisperx[365].start 11120.558
transcript.whisperx[365].end 11141.008
transcript.whisperx[365].text 所以我問部長跟署長有沒有自己上去測試過我知道有這個系統但是我沒有測試過我是上去看我上去看過我沒有加入我請辦公室的助理幫我測試一下那我就很簡單的講就好了其實我對這種我都覺得
transcript.whisperx[366].start 11143.376
transcript.whisperx[366].end 11166.962
transcript.whisperx[366].text 不成熟的東西不要拿出來你知道觀光署所代表的是中華民國的觀光產業它代表的是交通部也就是它是中華民國這種強調我們觀光要立國我們曾經有千萬來客觀光署是一個象徵一個代表那我們推出了這個AI小幫手的服務平台
transcript.whisperx[367].start 11167.898
transcript.whisperx[367].end 11189.305
transcript.whisperx[367].text 我請助理輸入幾個東西譬如說第一個我想知道中永和好吃的麵包在哪裡他回答是很抱歉找不到相關的資料你可以進一步查詢各個景點的資料庫喔然後再來請介紹一下永和著名的甜點同樣回答的是一樣的東西
transcript.whisperx[368].start 11190.509
transcript.whisperx[368].end 11212.438
transcript.whisperx[368].text 那請介紹永和的觀光景點其實越問越大啦一樣的道理叫你建議參考新北市政府的觀光旅遊的網站然後問說想要從台北想要台北就簡單講請AI台北進行騎自行車環島應該怎麼安排我們的平台出現的
transcript.whisperx[369].start 11219.847
transcript.whisperx[369].end 11241.116
transcript.whisperx[369].text 三天的行程是還台北市的行程我說台北市出發要騎自行車怎麼還台你們給我的是三天還台北市的行程好那剛剛這些問題其實不要講AI啦我們講到AI實在是太羞辱AI了我們
transcript.whisperx[370].start 11242.449
transcript.whisperx[370].end 11266.524
transcript.whisperx[370].text 台灣有internet之後我們連我們只要在google上面輸入永和有什麼好吃的中和有什麼好吃的我們台中的清水有什麼好吃的我想都可以跑出一大堆的東西出來還沒到AI啦搜尋網站就可以不用用到AI啦也就是還不大需要用到智慧
transcript.whisperx[371].start 11267.524
transcript.whisperx[371].end 11293.687
transcript.whisperx[371].text 只要你有搜尋功能就可以做到我們不夠作業啦 應該加一個試用版因為我們也知道說這件事情我們希望成立一個PMO我們工研院來協助我們那麼現在我們也有支撐會來協助我們這件事情也覺得22個縣市政府做的力道不夠但是六都做的還不錯那我們希望能夠把它串起來我們會加一個試用版上這個 就是說
transcript.whisperx[372].start 11295.312
transcript.whisperx[372].end 11322.521
transcript.whisperx[372].text 部長 署長你們也都知道大家現在可以花錢訂閱CHAP GPT吧對 沒錯你可以輸入它比Google更好用因為它加入人工智慧可以真正的AI讓你排成告訴你哪裡可以你可以去哪裡中午去哪裡吃怎麼它幫你排好了雖然它還是有一點小缺點但是比起過去我們傳統用Google的搜尋它其實好很多
transcript.whisperx[373].start 11323.908
transcript.whisperx[373].end 11353.377
transcript.whisperx[373].text 我的意思就是說台灣一般大家會認知什麼叫AI就他買了CHAP GPT幫你排排好之後大家都還在裡面要討論或者修正那中華民國政府主管觀光的的一個AI平台結果出來的是連提供最基本的資料都沒有我們稱之為代表著中華民國觀光署的AI的小幫手
transcript.whisperx[374].start 11354.926
transcript.whisperx[374].end 11378.739
transcript.whisperx[374].text 那個蘇發部長也在齁 部長你們也在推動政府AI應用實驗站的這個計畫在你的看法交通部啊 觀光署啊 推這樣的一個所謂的AI平台 部長作為一個專家 作為這個數位發展的主管機關 你的看法是什麼
transcript.whisperx[375].start 11379.279
transcript.whisperx[375].end 11402.764
transcript.whisperx[375].text 我想這個方向是對的啦那資料的訓練可能還需要再加強那有一些新的技術像什麼RAC這種技術可以導入可以增加這個網站的使用性這個我們會跟交通部再來合作你們這個實驗站恐怕第一個要趕快請幫忙一下觀光署啦對恐怕你要第一個趕快因為我就幫你測試一下你們實驗站二月就開課了嘛
transcript.whisperx[376].start 11405.905
transcript.whisperx[376].end 11429.338
transcript.whisperx[376].text 對 到今天已經五月了讓我們還看到這樣子因為我覺得這樣的東西其實對觀光署是一個很大的羞辱啦就中華民國的觀光主管機關推一個AI連Google的搜尋入口網站都不如我們名字叫AI我覺得這個是很奇怪的你要服務大家 你應該是怎麼樣你的Data的訓練
transcript.whisperx[377].start 11431.249
transcript.whisperx[377].end 11448.838
transcript.whisperx[377].text ChipGVT把所有網路上面的資料他都拿來訓練他告訴我們的我們都還覺得不一定很優還要在人工加以優化那現在呢我們在訓練他的方式是只有政府內部的資料
transcript.whisperx[378].start 11451.143
transcript.whisperx[378].end 11475.599
transcript.whisperx[378].text 部長你覺得這樣的訓練出來可堪用嗎我們也在準備這些資料來做訓練所以我們會協助交通部把這個系統的訓練的更好所以這樣子是不合格的我們會再跟交通部所以我沒有惡意啦我只是說署長我們要做我們就一定要有一個基本的樣子
transcript.whisperx[379].start 11476.92
transcript.whisperx[379].end 11501.216
transcript.whisperx[379].text 因為你丟這個出來 只會讓網路上大家不斷地三笑說原來中華民國 光光鼠的AI說什麼叫AI 就長這個樣子台灣人笑完也就算了 我們號稱科技大國 我們還有速發部喔結果我們在國外 如果這個外國人不管他在台灣 他來台灣要搜尋 結果長這個樣子這個
transcript.whisperx[380].start 11504.497
transcript.whisperx[380].end 11521.25
transcript.whisperx[380].text 很好笑啦說實在話所以我沒有反對你做這個我只是覺得做任何的網站包括你觀光署下面你各個相關的這些風景區管理服務平台或者什麼一大堆的到底
transcript.whisperx[381].start 11521.89
transcript.whisperx[381].end 11537.328
transcript.whisperx[381].text 效果如何 做這些東西要進入了一個新紀元 就是AI的新紀元那到底你們準備好了沒有不要齁 這樣有做 這樣丟出來說 我就有在做 現在就有在做這個這個齁 我覺得不好啦 署長你覺得呢
transcript.whisperx[382].start 11539.856
transcript.whisperx[382].end 11565.874
transcript.whisperx[382].text 謝謝委員指教 但是因為我們重點當初同仁提的時候 重點在歐貝爾重點在這個歐雄 也就是歐雄比過去的歐雄能夠更進步一點所以我們嘗試的讓同仁有些這個衝擊那委員提示的也是我們覺得思慮還是不夠周到但是表示我們PMO還要必須要加強那這個部分如果說一步
transcript.whisperx[383].start 11567.395
transcript.whisperx[383].end 11590.232
transcript.whisperx[383].text 能夠來協助我們 我們覺得是更感興趣我建議就是說先弄好再推出啦不急嘛速發部都還在教政府各單位怎麼應用實驗站觀光署要走在前面我沒意見你至少做一個CHAP GPT不要差太遠的啦不要差太遠 大家覺得說CHAP GPT要用錢去買觀光署服務我們不用錢的
transcript.whisperx[384].start 11591.223
transcript.whisperx[384].end 11596.31
transcript.whisperx[384].text 但是他只限旅遊的問題 他沒辦法問其他的問題OK啊 我覺得這很讚啊
transcript.whisperx[385].start 11597.318
transcript.whisperx[385].end 11623.722
transcript.whisperx[385].text 你跟他合作都可以啦就是你怎麼把旅遊的資訊你跟他有一個區隔雖然但是市場人家已經走到這裡了政府機關離人家太遠搞得不會過啦這樣懂我的意思啦好因為時間的關係我只剩下最後一個問題我想請問一下那個現在我們那個訂房率啊現在不公開他的思維是什麼
transcript.whisperx[386].start 11624.943
transcript.whisperx[386].end 11650.942
transcript.whisperx[386].text 並不是不公開而是現在的訂房率被大家誤認為是住房率那麼其實在現在的分析裡面發現就是說現在的疫情之後大家的訂房的決定的時間點越來越晚那我們在15天就宣布的時候其實這種宣布的方式其實會影響一些選擇行為我的意思是說你們科學的認證裡面發現公佈
transcript.whisperx[387].start 11654.295
transcript.whisperx[387].end 11670.374
transcript.whisperx[387].text 公布台灣各個地區各個縣市或者觀光景點它的住房率幾%它所產生的負面衝擊是什麼比正面衝擊還大那是什麼譬如說現在有50%是當天才決定要去住宿的
transcript.whisperx[388].start 11671.878
transcript.whisperx[388].end 11685.195
transcript.whisperx[388].text 報告員當時我所理解的會有這個數據的公布主要是為了讓地方政府方便因為如果說電房率很高的時候他們交通輸運上面要怎麼去準備還有我們自己風景區的那個要怎麼整備
transcript.whisperx[389].start 11686.437
transcript.whisperx[389].end 11703.485
transcript.whisperx[389].text 但是後來發現這個參考的價值越來越低是因為現在大家的定房率習慣上50%的人是前一天才決定那我們這個公布是前15天就公布所以那個參考價值其實是相對低但是我們現在公布的是定房率前三名的給民眾參考 參考什麼
transcript.whisperx[390].start 11704.365
transcript.whisperx[390].end 11728.474
transcript.whisperx[390].text 有哪幾個縣市它的訂房率特別高如果想去那裡遊玩的人你要訂房可能要趕快訂或者是交通上要趕快先準備這個部分我還是會公布那但是其他部分或許可以考慮啦要不要前一天再公布或者是直接住房率直接公布也是可以對對因為我不瞭解這樣的利弊啦所以我今天來特別請教是譬如說以我的消費行為來看
transcript.whisperx[391].start 11729.614
transcript.whisperx[391].end 11752.928
transcript.whisperx[391].text 如果我發現這個連假前兩個禮拜你告訴我哪裡已經大塞已經九成了因為我可以有替代性嘛我一年有幾個假期那我就先挑不要跟人家擠的那我可能對我這種消費者而言我就找不到哪裡是不擠的我們現在前三名比較多訂房的地方我們會公布還是有
transcript.whisperx[392].start 11753.348
transcript.whisperx[392].end 11769.379
transcript.whisperx[392].text 我知道我知道我的意思是說以前全公布我才知道說我的選擇可以選擇不用去人擠人的位置在哪裡那所以以前也是全公布現在你只公布前三名所以你公布的前三名我並不知道第四名會也一樣是不是也一樣擁擠
transcript.whisperx[393].start 11770.76
transcript.whisperx[393].end 11786.618
transcript.whisperx[393].text 所以我的意思是說站在我這種消費者而言我不懂為什麼你不讓我知道最不擁擠的這一個假期最不擁擠的地點到底在哪裡我的意思只是詢問這個所以我的意思是說你們應該是不是在
transcript.whisperx[394].start 11787.879
transcript.whisperx[394].end 11816.028
transcript.whisperx[394].text 再跟那個觀光業者或者消費者之間再評估一下啦到底是怎麼樣公布是最好的因為我也不知道但是我只是站在我這種消費者立場我會覺得很不方便以前很方便以前你們的指標就是告訴我這一個連駕不要去哪裡因為那裡實在是房間也很難訂車子又多所以我會選其他還好這個地方還蠻容易訂的沒有你們這個資訊我只好到處去
transcript.whisperx[395].start 11817.308
transcript.whisperx[395].end 11832.397
transcript.whisperx[395].text 訂房網站去搜尋嘛看哪裡的最好訂就表示這個假期那裡少所以我的意思在評估一下看怎麼樣公布是對消費者好對這個業者也好好不好好謝謝好謝謝委員好謝謝我們請徐富奎委員
transcript.whisperx[396].start 11853.238
transcript.whisperx[396].end 11881.746
transcript.whisperx[396].text 謝主席有請我們陳部長請陳部長委員好部長好部長我上個禮拜才在委員會針對我們這個人本交通的一個政策是我想提出一個質詢那尤其我們現在這個人性環境一直在做改善對那當然我們也期待就是這樣的一個改善是對這個整個事故的減少是有正面的注意是是那不過很遺憾這個
transcript.whisperx[397].start 11882.766
transcript.whisperx[397].end 11903.054
transcript.whisperx[397].text 前兩天發生這個三峽的一個重大車禍我想這個也造成一個台灣的一個震驚所以當然部長有在記者會有特別強調這個因為我們現在事故的這個原因還在了解當中那部長昨天也特別強調說這高齡者並不是造成這個傷亡人數最高的一個群體
transcript.whisperx[398].start 11903.994
transcript.whisperx[398].end 11922.914
transcript.whisperx[398].text 那不過這邊我還是要調了一個數據要提醒一下部長不管是這個機車或汽車高齡者的傷亡人數還有自重的人數都是逐年的攀升那尤其是高齡汽車自重的人數兩年之內就增加了一千多個人那不管是機車或者是汽車的駕駛
transcript.whisperx[399].start 11924.355
transcript.whisperx[399].end 11942.091
transcript.whisperx[399].text 發生事故的人數這兩年都增加了將近9000多人我想這個數據非常的恐怖啦齁那針對這樣一個部分那當然我知道部長昨天有做了一個緊急的應變把這個換照的年齡從75歲降到70歲部長那這部分未來有下修的可能性嗎
transcript.whisperx[400].start 11942.731
transcript.whisperx[400].end 11953.808
transcript.whisperx[400].text 報告委員因為高齡者的數字越來越多不是說傷亡的數字我說高齡者的人數越來越多我們是老齡化的社會我們已經進入超高齡社會
transcript.whisperx[401].start 11957.934
transcript.whisperx[401].end 11976.759
transcript.whisperx[401].text 現在開始算起我們已經有182萬從70歲以上的駕駛人182萬人10年之後會增加到272萬人接近280萬人所以這個人口其實一直在增加對交通部來說最重要的課題是如何協助高齡者能夠安全的駕駛
transcript.whisperx[402].start 11977.799
transcript.whisperx[402].end 11991.633
transcript.whisperx[402].text 這是我們整體的改善的措施的目的這是我們的思考那這些年其實數字上我們有看到人數一直在增加那其實是因為母數在增加所以受傷的人數跟傷亡人數當然會增加一些
transcript.whisperx[403].start 11992.754
transcript.whisperx[403].end 12007.275
transcript.whisperx[403].text 那不過整體的比例來說他沒有特別的高也沒有特別突出但這一塊確實是台灣社會未來必須要面臨的一個很重要的課題那這個年齡我們會參考日本我們把他從75歲下修到70歲就來進行換照的動作
transcript.whisperx[404].start 12010.103
transcript.whisperx[404].end 12035.037
transcript.whisperx[404].text 不過部長我個人是這樣認為啦當然有些長者我們也不希望他去開車或騎車因為有還是有一些風險存在的問題但是就我們現在目前整個交通的狀況你像六都他的大眾運輸很方便他出門有捷運有公車可以坐有火車可以坐那部長常常到屏東我們的偏鄉離島大眾運輸的目前的建制沒那麼完整
transcript.whisperx[405].start 12036.839
transcript.whisperx[405].end 12051.599
transcript.whisperx[405].text 現在連客輛車都判以救你教他們怎麼判知道自己開車或騎車所以我們當時我一直強調說怎麼樣去強化我們的這個大眾運輸的工具甚至我們都有請公務局研議這客輛車能不能開放多一點這樣有車廂救啦真的要不然
transcript.whisperx[406].start 12053.462
transcript.whisperx[406].end 12082.624
transcript.whisperx[406].text 你沒有開放這樣的政策長者只好自己冒險開車或騎車啦這是一個大問題啦這部分有沒有檢討的空間報告委員這個部分確實分兩個部分一個部分是還在駕車有駕車需求或騎車需求的我們怎麼協助他讓他有更多的安全認知讓他有更多的危險認知然後讓他有更多的安全教育的模式進來先協助他啦協助他怎麼樣安全駕駛這是一塊我們要做的
transcript.whisperx[407].start 12083.044
transcript.whisperx[407].end 12109.079
transcript.whisperx[407].text 那另外一塊就是偏鄉的這個交通的部分公共運輸要怎麼樣加強我們當然現在都市裡面公共運輸比較完善但是鄉下確實也是遇到這樣的問題我們當然要來改善所以幸福巴士跟幸福小房的建置對我們來講就相當的重要讓我們的長者能夠很方便的取得公共運輸的時候他自己開車跟騎車需求才可以降低這個部分兩個部分都要同時來檢討跟進行才有效
transcript.whisperx[408].start 12110.86
transcript.whisperx[408].end 12128.747
transcript.whisperx[408].text 對 部長我知道你們都有心要做但是我們也希望把KPI訂出來啦是是是尤其是我們這個屏東這個資源那麼有限的狀況之下到底多久能夠把這個路線包含這個期程規劃出來我想也希望給我們一個一個月之內給我們一個完整的一個報告好不好好 好
transcript.whisperx[409].start 12129.287
transcript.whisperx[409].end 12155.816
transcript.whisperx[409].text 是針對這個公共運輸的對 是怎麼樣去禁止這樣的一個大眾運輸還有幸福小黃跟幸福巴士目前的涵蓋率已經到了94%啦對 但是路線的部分還是不足啦可以再加強 這個可以再加強對 因為小黃公車使用率很高但是畢竟不是大街小巷 大家坐在同一個地方我們現在有比較用預約式的方式啦讓大家比較靈活一點來解決這個班次不足或者是路線不足的問題
transcript.whisperx[410].start 12157.149
transcript.whisperx[410].end 12179.702
transcript.whisperx[410].text 部長那另外我想我們交通部投入了將近48億改善校園周邊的一個交通但是我們進捐基金會針對這個學校的抽樣也發現這個不及格的分數還是都不及格所以這個表示我們這個整個校園的這個交通環境有改善的空間那當然目前我們大概這個三峽事故發生之後
transcript.whisperx[411].start 12180.362
transcript.whisperx[411].end 12205.124
transcript.whisperx[411].text 由警方來協助做一個學童的一個教管但這個畢竟不是長久之計因為警察還是有他的勤務在要職責在身上那所以未來怎麼樣針對校園安全部分交通部有沒有什麼樣的策略報告委員這個部分其實內政部國土組織比較主要負責的單位那我所知道他們現在也已經有在研議相關的一些設置的條例做通學步道
transcript.whisperx[412].start 12205.744
transcript.whisperx[412].end 12222.707
transcript.whisperx[412].text 通學步道的部分有國土署他們有在努力在做這方面的規劃那也跟地方政府正在溝通包含他們未來的通學步道補助的方案裡面一定會把一些項目硬體建設的項目列為重要的KPI這個部分他們正在做
transcript.whisperx[413].start 12223.328
transcript.whisperx[413].end 12248.528
transcript.whisperx[413].text 好 謝謝部長那這邊還是要跟部長拜託一下我們今年恆春建廠150週年如火如荼尤其我們今天已經進入到五月了還有剩下半年的時間我想部長在交通委員會考察也看到了我們縣政府的努力那我們上個禮拜我們在小琉球縣政府也辦了一個留住你的音樂會登島有一萬兩千多人
transcript.whisperx[414].start 12249.449
transcript.whisperx[414].end 12261.497
transcript.whisperx[414].text 所以我想我們希望未來 捧館處也好 觀光署也好跟縣政府我們緊密合作把這個建成150兆元的活動可以辦好好 我會請觀光署盡量協助好 謝謝 部長請回那我最後一個問題請教一下蘇衛部長 謝謝
transcript.whisperx[415].start 12272.472
transcript.whisperx[415].end 12290.884
transcript.whisperx[415].text 我們知道我們都有在補助這個我們的這個年輕朋友他們在研發一個遊戲不過我們有發現我們有補助的一個叫做百劍討邀傳奇壇這個案子他拿到了將近300萬的補助但是在台灣的售價卻遠遠高過於這個日本跟韓國最後讓台灣的這個
transcript.whisperx[416].start 12294.306
transcript.whisperx[416].end 12311.683
transcript.whisperx[416].text 遊戲組不能接受那為什麼有這樣一個狀況對那個這個我們補助是他的創招創新部分後面行銷跟那個我們其實在這個階段並沒有進去輔導那這個部我請那個素產署以後怎麼去改善好那我再問最後一個重要的問題
transcript.whisperx[417].start 12313.064
transcript.whisperx[417].end 12325.23
transcript.whisperx[417].text 那更遺憾的就是這個遊戲的爭議這遊戲公司前幾天又突然發出一篇聲明他被認為把台灣跟香港形容成國家要向中國大陸道歉這個事情更不能發生這個說明一下
transcript.whisperx[418].start 12331.029
transcript.whisperx[418].end 12347.646
transcript.whisperx[418].text 跟委員報告就是這個補助的話當然是補助研發至於說他的定價他可能是當地的經濟狀況或者是說他跟當地的代理商討論這個我們的了解是這樣他的意識形態問題怎麼解決
transcript.whisperx[419].start 12349.865
transcript.whisperx[419].end 12375.553
transcript.whisperx[419].text 如果說是一些他後來行銷的一些語言上面的狀況我們會再跟我們的遊戲業者這邊來說明來提醒他不要有相關的行為我想這是一個很嚴肅的一個課題啦我想蘇惠博也應該拿出一個態度我想這關行銷部分我們以後會加強關鍵因為這個東西確實在我們目前補助並沒有對他後面的行銷並沒有去有任何的措施這個看怎麼樣
transcript.whisperx[420].start 12376.553
transcript.whisperx[420].end 12389.925
transcript.whisperx[420].text 好 部長那最後今天解凍案如果通過之後對我們整體的業務會不會能夠繼續推動當然幫助很大啦因為我們被刪了蠻多的我們就盡量努力把它解凍我們會有很多工作需要委員們的支持好 謝謝
transcript.whisperx[421].start 12413.552
transcript.whisperx[421].end 12421.258
transcript.whisperx[421].text 我們有請許智傑召委發言謝謝主席 我們請部長陳部長委員好
transcript.whisperx[422].start 12430.046
transcript.whisperx[422].end 12445.807
transcript.whisperx[422].text 部長我盡量說短時間那個高雄機場我們這個東側停車場動工這個謝謝交通部門很辛苦不過我還是要提醒一下部長就是說是不是這個民航局跟觀光署
transcript.whisperx[423].start 12446.608
transcript.whisperx[423].end 12462.533
transcript.whisperx[423].text 其實可以一起思考啦其實我們每一次都是做一部分但是另外一部分你比如說新加坡這個五號客運大樓他們已經動工了你可以看到其實新加坡這個張宜機場他們還可以看到迪士尼
transcript.whisperx[424].start 12464.414
transcript.whisperx[424].end 12485.376
transcript.whisperx[424].text 然後還有那個雪山樂園很豐富啦那也就是說在他們在動工的時候事實上這些東西都一併考量進去然後你看泰國那個東部航空城他們也正式啟動了那他們要蓋的這個烏塔堡國際機場呢他跟東部航空城是合在一起一個計畫
transcript.whisperx[425].start 12487.057
transcript.whisperx[425].end 12511.385
transcript.whisperx[425].text 也就是說我今天除了民航的需求我觀光的需求我這個都會一起思考我是建議就是說就是有時候跨部會或者是跨局處事我是希望說我們除了部長能夠要求之外也請局長署長師長們就盡量去做這樣子一個聯合的思考比較不會都是做一部分啦那就像我那天有提到的那個BOT那個
transcript.whisperx[426].start 12513.886
transcript.whisperx[426].end 12528.547
transcript.whisperx[426].text 就是只顧B OT就不管了那後來要OT就OT不出去了所以像這個東西有時候必須要一起來思考那除了這個之外我想我們這一個先給
transcript.whisperx[427].start 12529.844
transcript.whisperx[427].end 12552.584
transcript.whisperx[427].text 那個部長跟大家一個提醒之外你可以看到這個高雄跟松山機場不一樣的地方就是在這個AI的應用現在這個AI的時代大家都在用啦這個智慧機器人跟那個智慧的導覽系統這個部分松山機場有做但是高雄機場還沒有做那有沒有辦法做
transcript.whisperx[428].start 12555.166
transcript.whisperx[428].end 12580.978
transcript.whisperx[428].text 報告委員這個部分我們現在南北雙空港的這個政策非常清楚所以南部的空港對我們來說也是相當的重要那北部有的我們就在演繹南部也一定要有高雄機場我們會當然現在正在改制當中但是就現有的這個區域跟範圍我們來做這個這個方面的演繹這個是沒有問題現在就要給部長跟局長跟大家一個觀念現在正在擴建
transcript.whisperx[429].start 12582.038
transcript.whisperx[429].end 12605.086
transcript.whisperx[429].text 擴建的當中如果你沒有把這些東西附帶的一直想進來大家說我就在企業 企業好 企業好16年了所以在這個過程當中我希望說就是現有的區域先加強對 就部長 局長 包括機場的主任這個都必須更積極的去把這些配套一起思考那
transcript.whisperx[430].start 12606.192
transcript.whisperx[430].end 12614.637
transcript.whisperx[430].text 我再講一個這個很簡單的東西那個小港機場那個外籍航空說高雄飛香港的航線他們想要換大會區
transcript.whisperx[431].start 12616.348
transcript.whisperx[431].end 12638.293
transcript.whisperx[431].text 我們爭取了半天都爭取不來你看我那一天去東京做那個台日交流我就正好坐到這個皮卡丘的飛機就覺得很興奮啊這個我們爭取好久啊已經開航我們爭取彩繪機爭取大飛機就是很努力啊但是呢現在人家要換大飛機我們高雄航空中收不同意
transcript.whisperx[432].start 12639.485
transcript.whisperx[432].end 12664.444
transcript.whisperx[432].text 包委員不會不同意啦只是時間帶大家微調一下他們目前有來詢問那我們希望他時間帶稍微微調一下因為還有其他的航班不會不同意喔那個局長也在旁邊跟部長兩個一起答應的不要到時候又有問題好那最後一個我想這個都是小問題但是都解決不了不知道為什麼那個我們機場計程車有這麼困難嗎
transcript.whisperx[433].start 12668.373
transcript.whisperx[433].end 12670.553
transcript.whisperx[433].text 是不是我請局長回答一下好不好
transcript.whisperx[434].start 12672.857
transcript.whisperx[434].end 12697.637
transcript.whisperx[434].text 有關維園垂巡的排班計程車的部分那我們也是會考慮就是說要再增加那我們會照這個程序來做處理一個月我們把規劃時程 因為要公告要公告然後才能領選 然後審查要這麼久喔對那本來不是已經公告處理就照表了三八年四年變四八年這樣有這麼困難沒有 要增加還是要再走程序
transcript.whisperx[435].start 12698.357
transcript.whisperx[435].end 12715.961
transcript.whisperx[435].text 那我們把時程更換給委員我只是把這個問題也讓部長知道啦就是說高雄機場的速度我覺得有意見是是是所以應該要更積極請部長跟局長多加要求這樣好不好好速度要加快沒有問題好謝謝謝謝委員
transcript.whisperx[436].start 12731.892
transcript.whisperx[436].end 12740.134
transcript.whisperx[436].text 我以身作者時間內結束希望大家盡量幫忙控制時間好我們現在請邱若豪議員主席謝謝有請陳士凱部長好請陳部長
transcript.whisperx[437].start 12755.56
transcript.whisperx[437].end 12755.84
transcript.whisperx[437].text 董事長
transcript.whisperx[438].start 12785.94
transcript.whisperx[438].end 12801.108
transcript.whisperx[438].text 那部長當時你當天也說會回去再研議嘛那很一樣還有痛心的事我們看到那事隔11天本週一在新北市三峽發生重大的車禍事故三人不幸罹難12多人受傷那大多數都是國中小學生
transcript.whisperx[439].start 12801.468
transcript.whisperx[439].end 12829.251
transcript.whisperx[439].text 那七十八歲駕駛他在三個月前剛完成換照短時間內又釀成三十十二傷的重大事故那交通部昨天也召開記者會嘛那有宣布七十五歲換照下修至七十歲預計明年上路也針對駕駛的駕照管理發布三個策略那第一個是考試加嚴然後增加鑑別度然後還有建立回訊的制度加強安全意識還有換照制度的改革那相信交通部目前也正在還有正在規劃中嘛
transcript.whisperx[440].start 12829.992
transcript.whisperx[440].end 12847.289
transcript.whisperx[440].text 那大概多久會有具體的做法報告委員我們三個月之後會提出換照制度改革的具體的這個方案那也請部長說明那這個分別的主事單位是這三個這三個應該都是公路局都會是在公路局嗎對
transcript.whisperx[441].start 12848.669
transcript.whisperx[441].end 12863.222
transcript.whisperx[441].text OK 好 那目前因為我們看到工作局的規定75歲以上的駕駛人他換照需要經過體檢然後還有視力 辨色力還有聽力 視知活動能力還有其他就是其他的重大疾病評估然後進行認知測驗那
transcript.whisperx[442].start 12865.804
transcript.whisperx[442].end 12886.876
transcript.whisperx[442].text 實務上部長您認為這樣的制度真的能夠篩檢出高風險的駕駛人嗎是 報告委員所以我們現在整個改革的機制裡面其實我們有加了其他的危險認知的部分危險感知的部分那另外我們對於試支是否健全以外它是否靈活活動度的部分我們也會進行測驗跟測試這項測驗是由誰來做測驗
transcript.whisperx[443].start 12888.977
transcript.whisperx[443].end 12904.151
transcript.whisperx[443].text 我們到時候會跟目前我們是找診所診所在做包含衛生署也都有做我們是重新來設計這套鑑定的檢測標準嗎它是否還是最低門檻我們會不會還是它只是加嚴
transcript.whisperx[444].start 12905.99
transcript.whisperx[444].end 12929.516
transcript.whisperx[444].text 當然啦報告委員我們整體的這個危險感知的部分也會加進來所以整套的這個設計我們三個月之後會提出一個系部跟委員再來報告那北京在上一次有針對就是桃園巴德他這個事故有詢問過部長駕駛如果他是證實因為身體突然不適然後導致事故當時也有問過部長那交通部和衛福部有沒有
transcript.whisperx[445].start 12930.816
transcript.whisperx[445].end 12954.582
transcript.whisperx[445].text 當時您交通部的回覆是沒有既有的聯防機制那經過這次事件後交通部和衛福部會建立什麼樣的機制因為未來我們的整體的改善的機制其實跟衛福部也相當相關包括我們在體檢的部分我們也希望說衛福部也可以幫忙因為現在衛福部有一個老人的免費健檢那我們希望把安全駕駛的這個健檢的項目能夠放進去那未來我們會盡量跟他們連線我們其實應該有開過會有溝通過吧
transcript.whisperx[446].start 12958.263
transcript.whisperx[446].end 12984.411
transcript.whisperx[446].text 那跟衛福部那邊連線就是說有哪些人是吃藥哪些藥物會造成價錢的影響是什麼時候開會的跟我們報告一下剛剛委員所提到大概是資訊借接的這個部分吧是什麼時候開會的資訊借接的部分在公務局跟我們報告一下這個東西有一個處罰條例資訊回答我的問題嗎 什麼時候嗎應該是千年
transcript.whisperx[447].start 12990.342
transcript.whisperx[447].end 13002.419
transcript.whisperx[447].text 113年因為現在衛福部不管是我們國內的健保資料庫還是公路駕駛系統還有身心障礙的通報平台都已經數位化多年了難道交通部不能直接和衛福部討論嗎看我們是不是可以建立一個聯防機制
transcript.whisperx[448].start 13003.844
transcript.whisperx[448].end 13025.123
transcript.whisperx[448].text 已經討論了 那這個東西必須要有這個那再請提供當時的討論結論已經在修那個處罰條例增訂第92條現在已經在這個行政院了或是要送到這個立法院來部長我們接著看到我們就是在高齡長者換照的時候他我們必須要進行這個認知的功能測試那部長您知道有幾個測試嗎也知道總共有幾項
transcript.whisperx[449].start 13030.416
transcript.whisperx[449].end 13047.027
transcript.whisperx[449].text 三個 有三項嘛那這是第一項和第二項的那您認為這個測試的目的是什麼報告委員這個是針對他的認知包含空間的認知時間的認知還有他的坦白說啦是記憶力啦因為我們是針對他是否失智的這個狀況我們在做測試
transcript.whisperx[450].start 13049.218
transcript.whisperx[450].end 13066.589
transcript.whisperx[450].text 是這個狀況那你認為這個足夠嗎報告委員我們這個有一個醫學的諮詢委員會當時是跟交通安全的這個醫學諮詢委員會裡面的專家跟學者包含醫生各科的醫生大家所研擬出來的因為60歲到80歲是退化最快的
transcript.whisperx[451].start 13066.849
transcript.whisperx[451].end 13088.264
transcript.whisperx[451].text 一個階段嗎那我們是不是要再跟衛福部共同來就是研議提升測試的難度還有精準度報告員剛剛的這一套其實是日本現在也是在用的連日本的這個整個測試也是用這個但未來我們還會再加強例如說危險感知的部分也會加強還有安全的這個駕駛的這個講習他的觀念的講習我們也會來加進來那針對有肇事的人他的實地的訓練我們也會來加強
transcript.whisperx[452].start 13095.031
transcript.whisperx[452].end 13114.558
transcript.whisperx[452].text 好 那本席今天也向部長提出建議就75歲以上的駕駛人 我們是不是可以他的換照頻率我們從三年一次 然後調整每年一次呢我覺得我們可以去討論啦就是說分年齡用不一樣的級距下去讓他有不一樣的頻率這個部分我們來檢討OK 好 謝謝部長好 謝謝委員好 謝謝我們請宗教編委員
transcript.whisperx[453].start 13138.629
transcript.whisperx[453].end 13150.189
transcript.whisperx[453].text 好 謝謝主席蔡常委員先進列席總統官員會長工作夥伴媒體記者林志先生有請我們陳部長跟預言所的林所長請陳部長公務局局長剛才的林所長也請準備好
transcript.whisperx[454].start 13156.951
transcript.whisperx[454].end 13175.103
transcript.whisperx[454].text 部長好還有所長好來今天的問題大家都問過很多了我就很快的迅速的來進行一下來下一張這是昨天事故的現場那我們把它回顧到原來淨空的畫面這就是事故現場的道路部長看起來有沒有任何的道路安全的防護措施您覺得有嗎
transcript.whisperx[455].start 13176.176
transcript.whisperx[455].end 13204.247
transcript.whisperx[455].text 報告委員他這個看起來是會有行人專用實相的措施然後斑馬線上面也有特殊的這個顏色特別的顏色但是對不起應對昨天的那種事故狀況這樣的一些措施只是行人被注意到但是對於車輛的速度或者暴衝的情況他有沒有防護的效果包括我看到這些都是顯示的嘛這些緩衝感也是顯示的嘛好我們來看一下這是日本學校周邊的道路規劃
transcript.whisperx[456].start 13205.487
transcript.whisperx[456].end 13229.589
transcript.whisperx[456].text 部長或者是你們的局長有看過這樣的規劃嗎譬如說他們除了路面的塗裝之外他們除了一個進來的停車彎之外他們事實上在十字路口做了一些減速的設施然後他也把道路刻意的窄化讓車流速度降緩請問部長或者局長您認為這樣有幫助於道路學校周邊道路的安全防護嗎
transcript.whisperx[457].start 13230.45
transcript.whisperx[457].end 13252.923
transcript.whisperx[457].text 跟委員報告一下我們確實在運營所所這一個訂定的這一個校園桌邊行人安全感染指引我們是有參考日本韓國就包括委員剛才這邊所秀出來的這些優良的一些值得借鏡的作法我們都有放在這個參考指引裡面參考指引部長也就是說這個需要我們儘速加快去推動可以嗎
transcript.whisperx[458].start 13254.143
transcript.whisperx[458].end 13276.99
transcript.whisperx[458].text 好的做我們趕快去做這個部分我們其實都有指引出來那國土署內政部國土署其實他們主要有負責這個業務所以我也會去要求內政部國土署我們兩個部會配合好不好好我們努力的把它改善來下一頁好剛剛也很多委員問到了高齡換照不考駕駛能力我們換照不管什麼原因換照是不是考這三個認知能力
transcript.whisperx[459].start 13278.144
transcript.whisperx[459].end 13306.27
transcript.whisperx[459].text 認知能力是用這三個題目好那只有這三個嗎局長您目前的換照的措施有包含哪些目前就是說高齡換照包括體檢還有認知功能測驗那認知功能測驗裡面有三個程序對那就是第一個就是時間空間第二個就是記憶力第三個就是這個協調好很好來部長其實我們看日本怎麼做其實剛剛聽起來的不免家裡有長輩的可能會覺得好像
transcript.whisperx[460].start 13307.527
transcript.whisperx[460].end 13332.178
transcript.whisperx[460].text 這個也是巴士量表其中的類似的做法但是我們看一下在日本他有分成兩個年齡層那如果你是叫年輕的你會有一個培訓課程然後就直接換發駕照通過後就換發駕照但是如果叫高的年齡的他會有個認知測試這個認知測試就跟剛剛講的一樣但是重點是什麼不是測試完了就沒有了他有什麼培訓課程包括
transcript.whisperx[461].start 13333.199
transcript.whisperx[461].end 13336.929
transcript.whisperx[461].text 說明駕駛的實際能力的車輛測試目前我們有做到這個嗎
transcript.whisperx[462].start 13339.022
transcript.whisperx[462].end 13366.276
transcript.whisperx[462].text 局長有沒有培訓大概就是跟我們現在的一般的授訓講習那是指考照前換照的過程會有需要的兩個嗎換照目前還沒有對 部長這就是原因所在我當然知道交通部很及時的回應社會的一些感覺但是呢好像你們只是把它停留在原來較高齡的認知測試的年齡往下調我們新的方案裡面其實都有加入講習
transcript.whisperx[463].start 13367.116
transcript.whisperx[463].end 13384.284
transcript.whisperx[463].text 有加入了 新的方案有加入了那趕快跟社會宣布有宣布了 至少半天的講習那有包括實際的車輛測試這個如果是肇事的紀錄有肇事紀錄的年長者他們就會加入實地的訓練很好 所以這個要宣布讓大家知道再往下看
transcript.whisperx[464].start 13384.804
transcript.whisperx[464].end 13402.219
transcript.whisperx[464].text 那其實剛剛也有委員問到的用藥的問題啦我們知道喝酒 酒後不能開車有沒有聽過吃藥後不能開車的我不是講毒藥喔這個當然有影響我們也知道隨著年齡的增加我們可能長者會有經常要用藥的需求
transcript.whisperx[465].start 13402.819
transcript.whisperx[465].end 13429.52
transcript.whisperx[465].text 那不同的藥物會產生不同的影響力所以呢有人都說包括降血壓啦止痛啦都有可能會妨礙你本來是可以正常駕駛的可能會造成你的能力的下降有沒有這個可能性有可能好那所以說呢我們未來希望你們的精進的換照的制度除了包括認知除了包括實際操控能力是不是也要增加一個包括可能的一些建議用藥指引的建議剛剛有委員問到可以嗎
transcript.whisperx[466].start 13430.387
transcript.whisperx[466].end 13434.174
transcript.whisperx[466].text 我們跨部會的溝通我們會來啟動那就請衛務部進來協助我們最後的結論很簡單的說另外一個就是強車險
transcript.whisperx[467].start 13440.015
transcript.whisperx[467].end 13462.334
transcript.whisperx[467].text 強車險目前是經管會那邊配合在推動那麼交通部過去對一些有造成風險可能的強車險的目的不是是幫助受害者去填補風險但是以昨天的例子萬一啦萬一我是開車的家長我的車有保強車險 一定有嘛我的在者小孩在車內 我被撞了
transcript.whisperx[468].start 13463.444
transcript.whisperx[468].end 13491.803
transcript.whisperx[468].text 我受傷有賠我的強撐有包含我但是不包含乘客險這個部長知道嗎是這是我的小孩受傷了我車的強撐險因為我沒有肇事責任所以在無肇事責任的情況之下我的強撐險只保障駕駛本人不保障乘客您覺得這樣的保障夠不夠萬一類似的情況有造成肇事的車輛衝擊其他無肇事責任的車輛造成裡面的駕駛跟乘客受傷卻沒有得到強撐險的保障您覺得這個需不需要補強
transcript.whisperx[469].start 13492.588
transcript.whisperx[469].end 13517.49
transcript.whisperx[469].text 包委員我們針對大車的部分有啦運輸業有運輸那是因為他職業運輸嘛那如果是自小客的部分自小客的部分他應該可以自己加保好您說的這是一個部分所以我的結論所以說其實目前上一頁上一頁我們說其實大部分的被保險人大部分的車主他買他說有強車險的時候他以為我只要有受傷我就可以賠我的乘客也可以賠錯
transcript.whisperx[470].start 13518.331
transcript.whisperx[470].end 13536.096
transcript.whisperx[470].text 如果你是被撞你沒有造成責任車上的乘客是不賠的這個部分呢委員會要求金管會趕快的去補強那也就是未來交通部在相關的對駕駛人的指引上告知他這一點他在投保的時候他如果覺得保障不足要自己額外加保或者請保險局去研發讓保險公司有新的保單來保障你同意嗎
transcript.whisperx[471].start 13536.816
transcript.whisperx[471].end 13563.023
transcript.whisperx[471].text 你也支持嘛好那最後的結論都很快的講希望在校園周邊及人口稠密地區有些減速緩衝或一些行人防護的措施這個部分呢你們有在做了請你們把它提出來那另外換照的測試項目你們也說了其實有說那就是要加強宣導最後呢用藥指引請融入以及最後呢汽車強制責任第三人責任險的部分未來怎麼強化駕駛人的認知這個部分也請交通部加強宣導可以嗎可以沒有問題好謝謝謝謝部長
transcript.whisperx[472].start 13574.4
transcript.whisperx[472].end 13596.929
transcript.whisperx[472].text 好 謝謝 我們請鄭天才委員好 主席 各位委員 請部長哪個部長 陳部長交通部 陳部長
transcript.whisperx[473].start 13607.449
transcript.whisperx[473].end 13635.389
transcript.whisperx[473].text 委員好 部長好大家辛苦了這個5月18號這個花蓮這個強降雨造成北回線河仁至崇德嚴重的受損這個也還好沒有造成人員的傷亡也沒有造成這個我們的火車的損害這是這個慶幸的地方
transcript.whisperx[474].start 13636.414
transcript.whisperx[474].end 13662.152
transcript.whisperx[474].text 但是這樣的一個強降雨也不是說豪雨那就是強降雨而已就造成他那個強降雨比豪雨還大他三個小時裡面降了一百多一百零幾毫米一百零七毫米三個小時以內主要的因素其實過去北回鐵路都沒有事就是因為0403地震之後地震當下
transcript.whisperx[475].start 13666.192
transcript.whisperx[475].end 13686.792
transcript.whisperx[475].text 也都沒有事啊是後來的遺症非常非常的多讓這個整個山的一個鬆動鬆動所以一下雨就造成這樣的一個情形連蘇花公路也是一樣都受到癱瘓所以這樣的一個情形這個這個
transcript.whisperx[476].start 13690.168
transcript.whisperx[476].end 13706.989
transcript.whisperx[476].text 本席還有我們花蓮台東的立委一再的希望趕快去解決這個問題真的是很嚴重繞台灣啊繞台灣一周我是常常繞台灣一周啊
transcript.whisperx[477].start 13708.544
transcript.whisperx[477].end 13731.172
transcript.whisperx[477].text 交通很安全的坐我也會繞台灣因為我的陝西台澎金馬嘛 常常要坐火車坐高鐵甚至常常坐七間車都是有它的需要性但是安全最重要所以這個安全 然後這個要繞台灣台灣算很小了啦
transcript.whisperx[478].start 13732.212
transcript.whisperx[478].end 13760.129
transcript.whisperx[478].text 但是就是因為很小才交通要給他趕快把它弄好所以這個部分這樣的一個安全回家的一直是我們非常迫切的部分是沒錯本席在今年就指了兩次今天是第三次光今年跟院長的質詢又另外跟部長質詢就
transcript.whisperx[479].start 13761.86
transcript.whisperx[479].end 13775.732
transcript.whisperx[479].text 有關台鐵宜花東地區鐵路設施安全改善計畫4月9號的時候這個還在這個部裡面那現在到底送到縣了嗎
transcript.whisperx[480].start 13780.733
transcript.whisperx[480].end 13796.844
transcript.whisperx[480].text 報告委員,我們現在台鐵董事會已經通過了,之後我們5月1號部也審過了目前還在修正當中台鐵要趕快修
transcript.whisperx[481].start 13802.464
transcript.whisperx[481].end 13813.112
transcript.whisperx[481].text 對對對已經修第二次了這個我都有追蹤謝謝委員所以這個部分要請部長好部長然後送到還要經過國發會嗎
transcript.whisperx[482].start 13815.309
transcript.whisperx[482].end 13837.875
transcript.whisperx[482].text 應該是要送到院這個程序還很多其實上我也執行過國發會送到他那邊的時候我也協調過國發會你趕快送他送到他趕快去協助來去送到行政院所以這個部分請繼續努力這個最重要的
transcript.whisperx[483].start 13839.115
transcript.whisperx[483].end 13864.071
transcript.whisperx[483].text 我的印象是5月10幾號你們修正送到交通部了嘛所以已經20天了部長這個我們有請他們要修正交通部的同仁趕快呈核給部長謝謝這個是進度真的是太慢了另外就是蘇拉公路
transcript.whisperx[484].start 13865.519
transcript.whisperx[484].end 13883.773
transcript.whisperx[484].text 齁 一樣啊 這都是一樣蘇花安 四爺九號也質詢部長啊是是你說我那時候請你趕快跟行政院院長協調是拜託行政院院長是現在還在行政院嗎
transcript.whisperx[485].start 13885.018
transcript.whisperx[485].end 13903.466
transcript.whisperx[485].text 還在行政院 對這個事太久了上次你的答選說我說請部長跟行政院長報告趕快核定你的答覆說好我會跟院長報告再記得要請秘書記得提醒提醒這個
transcript.whisperx[486].start 13905.287
transcript.whisperx[486].end 13927.765
transcript.whisperx[486].text 部長每次行政宴會要去之前要跟他提醒一下這我以前當副主委就是這樣就要提醒這個主任委員我以前當副主委的時候是這樣你看這個看這個時間你看這麼多次了這麼多次了
transcript.whisperx[487].start 13930.276
transcript.whisperx[487].end 13956.785
transcript.whisperx[487].text 所以這個部分要把它當成一個非常非常重要關核定之後還要執行都要很多年所以這個部分務必務必要記得要請副主委今天次長沒有來了要記得提醒跟我以前常務副主委的時候要提醒好謝謝
transcript.whisperx[488].start 13966.203
transcript.whisperx[488].end 13984.91
transcript.whisperx[488].text 謝謝 我們請黃建斌委員謝謝主席 我們有請江部長請陳部長
transcript.whisperx[489].start 13996.933
transcript.whisperx[489].end 14013.678
transcript.whisperx[489].text 委員好部長我們有默契你就知道我要找你喔是是是部長你如果找我今天來找你你會問什麼事情你也要清澈啦是是部長我們的鐵路是台中人外出讀書工作返家甚至就醫最主要的交通工具是
transcript.whisperx[490].start 14014.418
transcript.whisperx[490].end 14034.383
transcript.whisperx[490].text 但是這幾天台東的連外鐵路卻接連發生狀況造成南北鐵路分別中斷首先我要跟台鐵及第一線人員辛苦表達感謝在我們今天早上清晨北回線和仁至崇德之間的鐵路已經搶通東正線可以恢復單線雙向通車
transcript.whisperx[491].start 14039.784
transcript.whisperx[491].end 14058.906
transcript.whisperx[491].text 那不過這些我們看到5月16號下午5點南回鐵路訪山到家路車站的這個電車線端落那大武站到訪寮站大批乘客只能透過遊覽車接駁5月18號星期四下午北回鐵路
transcript.whisperx[492].start 14059.867
transcript.whisperx[492].end 14085.4
transcript.whisperx[492].text 河仁跟崇德之間發生的土石流造成台東往北方向的鐵路中斷原本台東的連外鐵路就是說三天內等兩倍那昨天下午呢然後在搶修過程裡面又遇到了強降雨然後再次的在這個河仁至崇德之間發生土石流淹沒了東西的這個東西陣線等於五天斷三次
transcript.whisperx[493].start 14086.34
transcript.whisperx[493].end 14108.942
transcript.whisperx[493].text 那本席再次強調我們很感謝台鐵跟地線人員的辛勞才能夠在今天清晨恢復這個北迴線的這個單線雙向通車不過我想要請部長你設身處地的想想如果您是台中人只要每到大雨就可能會中斷的鐵路你會安心 你會搭得安心嗎
transcript.whisperx[494].start 14110.831
transcript.whisperx[494].end 14124.75
transcript.whisperx[494].text 而且部長你也知道了部長我們上個禮拜台東舉辦一個很大的音樂會叫動浪音樂嘉年華那一天湧進非常非常多的遊客那如果16號跟18號的這兩件事情發生在同一天
transcript.whisperx[495].start 14125.931
transcript.whisperx[495].end 14150.49
transcript.whisperx[495].text 那台東就會變成孤島直接回去這樣那這樣的極端狀況其實並不是沒有發生過其實像我還記得當年穆拉克的時候本席在大武相公所擔任越顧人員我記得那時候南北鐵路中斷甚至連公路都中斷我們一度只能靠空投物資再撐下去那一直堅持到道路搶通因為這樣子本席到我們立法院來其實
transcript.whisperx[496].start 14151.391
transcript.whisperx[496].end 14169.646
transcript.whisperx[496].text 不斷的跟中央爭取兩件事情第一就是東部人的鐵路平權這件事情第二就是花東快速道路的興建因為我們東部人愛的很簡單的就是一條安全平安回家的道路那很遺憾我們政府每次都是遇到的狀況才開始喊口號那對於這幾天的事故
transcript.whisperx[497].start 14170.467
transcript.whisperx[497].end 14193.112
transcript.whisperx[497].text 本市第一時間立刻請台鐵來協助加派這個加班車還有啟動我們攻略接駁那昨天我們也跟台鐵跟交通部來開會針對我們陸海空的這個運距聯邦機制來進行這個檢討我們務必在最短的時間讓我們這個替代的運距到位對我們這旅客的這個衝擊降到最低那
transcript.whisperx[498].start 14196.277
transcript.whisperx[498].end 14224.524
transcript.whisperx[498].text 不過這個事情之後再次凸顯出我們東部交通的脆弱性那很多台東人都會問說為什麼我們復旦跟西部一樣高的這個高額的台北票價卻要承受這種三天斷兩次的這種風險尤其對於台北廠票價西部還有戈堤 還有戈壽公路 還有K文它有替代的方式台東沒有其他的選擇我們只有這一條鐵公路
transcript.whisperx[499].start 14225.524
transcript.whisperx[499].end 14248.478
transcript.whisperx[499].text 那是不是這個是中央要逼迫東部人接受這樣的結果那在這邊我要具體的請部長來回答針對你之前答應本席會在五月底提出這個花東專屬優惠票價是不是會有新的方案而不是過去那個一趴兩趴的回歸機制那目前的優惠票價部長是不是可以來說明一下好 報告委員
transcript.whisperx[500].start 14250.182
transcript.whisperx[500].end 14257.829
transcript.whisperx[500].text 您在台東也是從出生到現在,您應該很清楚從過去到現在台東的票價都跟西部是一樣的
transcript.whisperx[501].start 14259.257
transcript.whisperx[501].end 14287.851
transcript.whisperx[501].text 所以我們現在要啟動的是第一次史上第一次台東人會有優惠的票價過去台東人沒有這樣子的優惠票價那我們也清楚的知道說0403的地震之後確實整個交通路網的脆弱度確實是有造成所以我們也第一次史上第一次要讓台東人跟花蓮的鄉親都有更便宜的票價那這個票價目前台鐵正在研議當中他們在這個月的月底或者是六月初
transcript.whisperx[502].start 14288.211
transcript.whisperx[502].end 14310.602
transcript.whisperx[502].text 就一定會提出具體的方案也跟委員報告不會是一趴兩趴的這種這麼少 不會這麼少提醒一下部長 部長其實為什麼我這時候再次追問是因為部長因為現在的時間點已經距離五月底其實也很快那我們的車票預購現在28天前就可以預購如果你票價沒有出來這些會直接影響到所以這部分是請教我們部長我們來加快
transcript.whisperx[503].start 14311.963
transcript.whisperx[503].end 14340.685
transcript.whisperx[503].text 好謝謝那主席我再給我一點點的時間最後我要跟部長來爭取就是交通跟觀光是一體的啦那去年年四零三我們東部地震造成觀光重創那後來本席也在立法院強力的爭取希望比照這個花蓮一樣就是將我們振興補助方案納入那後來成功的爭取到這個補助加碼的部分那現在台東的
transcript.whisperx[504].start 14342.12
transcript.whisperx[504].end 14357.64
transcript.whisperx[504].text 觀光旅順業最仰賴目前就是我們暑期暑假這個檔期不過我們現在面臨兩個問題第一就是我們提到的這個目前遇到的北回鐵路的不穩定第二是未來台幣升值之後會不會造成出國
transcript.whisperx[505].start 14359.022
transcript.whisperx[505].end 14382.198
transcript.whisperx[505].text 出國熱門然後排擠到我們國旅的市場像我們從這一次的端午連假 觀光署公布的這個資料就可以看到只有澎湖苗栗跟連江縣有住宿超過六成其他地方都沒有所以本席這邊要求觀光署是不是可以針對我們東部的災情狀況提出研議的這個振興旅遊方案請部長回答
transcript.whisperx[506].start 14382.638
transcript.whisperx[506].end 14411.549
transcript.whisperx[506].text 報告委員我們可能會用其他的方式啦例如說我們用活動的方式去引客那當然交通的建置是最重要的交通的建置要讓他穩定旅客才會比較願意來好這部分我們也會努力那觀光的部分我們想辦法再多用一些活動來促進東部的觀光部長這個都即刻都遇到的問題那台東的產業其實很單純農業跟觀光也希望部裡面這邊來協助我們台東在產業以及交通上的這些改善好我們來努力謝謝部長謝謝委員謝謝主席
transcript.whisperx[507].start 14417.54
transcript.whisperx[507].end 14417.86
transcript.whisperx[507].text 謝謝 我們請張祺凱委員請阿辭部長請部長
transcript.whisperx[508].start 14451.302
transcript.whisperx[508].end 14471.25
transcript.whisperx[508].text 今天一整個早上大家都要問你這個三重重大車禍這個事情總統還有專利法院大家都哀悼了那現在最重要要補破網我看今天很多立委也提出了很多的方法我建議先參考國際上一些國家怎麼做我們現在高齡駕駛定的是75歲嘛保健室那一份是多少錢
transcript.whisperx[509].start 14474.847
transcript.whisperx[509].end 14495.873
transcript.whisperx[509].text 我知道而且我們現在正要做改革的方案我們的改革方案就會參考日本並且學習日本他們是70歲就開始日本70嘛對不對南韓更低啊南韓是65歲以上就每三年就換照一次那70歲看起來是最多的啦美國加州也是70歲英國也是70也有一些國家是80跟85
transcript.whisperx[510].start 14497.273
transcript.whisperx[510].end 14523.121
transcript.whisperx[510].text 不過看起來70歲最因為目前是一個最理想所以交通部也往70歲來是沒有錯這個是我們改革的方向好那今天我具體的做一個做幾個建議是所以把75歲降到這個70之外是第一個這個駕照的有下連線本來是三年對不對我們是不是把它降為兩年這樣可以早期發現而且排除例如說有失智的這個狀況或者影響這個駕駛安全的因素
transcript.whisperx[511].start 14524.455
transcript.whisperx[511].end 14531.522
transcript.whisperx[511].text 兩年 也是往這方向走嗎我們可以分級距啦 年齡的級距啦例如說70歲到75歲是一個級距那75歲以上可能到80歲是一個級距我們用年齡的級距來來討論它的頻率 這個我們會來討論這規劃不錯
transcript.whisperx[512].start 14541.57
transcript.whisperx[512].end 14567.558
transcript.whisperx[512].text 就是反正至少本來的三年要稍微有一點要收減就對了另外一個這個是我特別提出來的就不是只有局限第一次滿75歲的我們要針對如果是65歲以上他如果曾經發生過有重大的交通違規或者是事故的駕駛人我們是應該在65歲以上有這些問題的要求他強制接受醫療跟認知的這個檢測
transcript.whisperx[513].start 14570.52
transcript.whisperx[513].end 14597.78
transcript.whisperx[513].text 報告委員,這個有重大違規的部分,我們都有這個關懷的機制所謂關懷機制,其實有點類似像委員所說的這些啦那我們的關懷機制會去針對有特殊的這個肇事或者是特殊的違規的部分會來進行,65歲以上,會所以是等於是65歲就開始要做這個事,對不對?是那另外一個,我具體的要求,強化認知功能這個測驗之外,我們要加上入考
transcript.whisperx[514].start 14599.998
transcript.whisperx[514].end 14623.361
transcript.whisperx[514].text 就是不要只是紙上的這個測驗啦就是實際的那個駕駛技術的那個測驗強化他實際的那個駕駛能力的評估可以嗎報告委員我們這個認知測驗之外我們現在有加了危險感知所謂危險感知就是他遇到危險的狀況再反映能力跟對危險的理解危險感知也會加進來還有就是他視知的靈活度這個部分我們也會加進來
transcript.whisperx[515].start 14624.142
transcript.whisperx[515].end 14638.944
transcript.whisperx[515].text 那再來講習的部分 交通安全講習的部分也會加進來那針對有肇事記錄的長者他的這個實地的訓練也要加進來也就是說他真正要開車啦旁邊有人在跟他溝通 跟他做訓練這個部分也會加進來
transcript.whisperx[516].start 14640.625
transcript.whisperx[516].end 14668.479
transcript.whisperx[516].text 所以你把我第四項具體要求這個獎席這一塊也加上去所以這等於是這個四大這個具體的要求還有剛剛加上一個75歲降到70都是往這方向在走嘛OK那事實上應該要配套啦所以剛剛講的保障這個行人的這個安全之外事實上高嶺這個長者他有時候為什麼要開車有時候也很不得已對不對或者是一種習慣所以我們應該配套第一個應該做的事情
transcript.whisperx[517].start 14669.043
transcript.whisperx[517].end 14669.571
transcript.whisperx[517].text 那就讓他要
transcript.whisperx[518].start 14670.543
transcript.whisperx[518].end 14699.434
transcript.whisperx[518].text 有合適或者便捷的交通的這個工具嘛對 公共運輸的工具要健全所以為什麼那些假義人上次很生氣也在要求嘉義遷軌的事情你想如果你嘉義遷軌真的是中央落實那天昨天長講的372億的工程備付啦趕快把遷軌蓋起來讓我們嘉義縣市的這個長輩就不用開車出門啦有這麼便捷的好不好 這個我們共同再來努力一下好不好那另外我覺得今天很好今天包括不管是
transcript.whisperx[519].start 14701.066
transcript.whisperx[519].end 14717.14
transcript.whisperx[519].text 藍綠白的這個立委都很理性的提出很多建議配套提到包括這個通學區或者是人口比較密集的地方包括我們之前已經如果交通部已經做了很好的指引要這段時間我應該找縣市政府好好再溝通一下好不好是務必要落實
transcript.whisperx[520].start 14717.66
transcript.whisperx[520].end 14738.629
transcript.whisperx[520].text 國土署他們有在做這樣的事情好的政策 政治好的指引一定要落實好不好所以一方面我今天提出五大具體的這個要求保障我們行人跟民眾的這個安全那一方面我們要照顧我們的長輩不是說好像就是說叫他們以後不要開車給他們一個比較世俗的這個安全 協助他們安全駕駛大眾運輸好 謝謝好 謝謝張基凱委員
transcript.whisperx[521].start 14745.396
transcript.whisperx[521].end 14766.852
transcript.whisperx[521].text 下一位請王美惠委員發言,王美惠王美惠在嗎?在,主席我幫你講,不在主席謝謝感謝,跟我們這裡我們的部長好,部長有三個,好幾個交通部長,不好意思
transcript.whisperx[522].start 14773.169
transcript.whisperx[522].end 14782.561
transcript.whisperx[522].text 董事長你好在這幾天我相信你跟我哥很多我們的董事都心情正常
transcript.whisperx[523].start 14783.581
transcript.whisperx[523].end 14810.629
transcript.whisperx[523].text 但是在心情正當的當中我們要如何如果發生事情未來要如何去改善但是要改善的時候我相信每一個政策都是要有專家來評估來看要如何未來可以更好所以在昨天跟今天
transcript.whisperx[524].start 14811.889
transcript.whisperx[524].end 14824.3
transcript.whisperx[524].text 有很多人都說,改75歲,我們要改到70歲嘛在這裡,我要說,我不反對我們的改革,我們的改善會更好因為在這個過程當中,我有覺得很好處
transcript.whisperx[525].start 14836.636
transcript.whisperx[525].end 14855.465
transcript.whisperx[525].text 因為到底這個司機七十八歲跟你們五十八公八年七十五歲開始的啊 已經很久了我覺得應該是這段時間我們要有神聖去評估才對再來那天發生事情之後你們冠軍七十五歲跟七十五歲到底這個原因在哪裡
transcript.whisperx[526].start 14867.352
transcript.whisperx[526].end 14873.259
transcript.whisperx[526].text 以這個時機 到底是什麼樣的情形之下發生這些事情我相信你我都還沒確定在這個過程
transcript.whisperx[527].start 14882.745
transcript.whisperx[527].end 14896.013
transcript.whisperx[527].text 也有很多老人說,好的政策我75歲、我80歲、我70歲,需要三黨來挖我們這條的線,要有一些機制,他們都沒有反對但是在這個過程,他覺得一天、兩天,雄雄75歲、港70歲
transcript.whisperx[528].start 14914.515
transcript.whisperx[528].end 14937.926
transcript.whisperx[528].text 發生這麼好 尤其有人希望 包括有希望沒希望有人想想沒人想想 相信大家都不要發生 但是保證我們要要一個好政策像昨天那個司機38歲 他受個人身體的問題
transcript.whisperx[529].start 14944.127
transcript.whisperx[529].end 14954.212
transcript.whisperx[529].text 我們應該想說 我們的開車騎車 駕駛本身有問題是不是應該要怎樣去處理才對所以保證 本市在這裡 要跟你談到這個規範 你會在這裡 你對的時間來解決你看我寫的 包括我要來的時候
transcript.whisperx[530].start 14971.428
transcript.whisperx[530].end 14984.551
transcript.whisperx[530].text 我們很多地方的老師 第一位都是70歲以上75歲如果我說 美輝 你要跟這個制度 老師沒反對喔這是要怎麼做才好不是隨便現代人說75歲跟70歲叫這些大傢伙要怎麼做聽著也可能手軟
transcript.whisperx[531].start 15002.571
transcript.whisperx[531].end 15024.173
transcript.whisperx[531].text 部長 本席跟你談到這 你是不是可以用這個時間回答一下好 謝謝委員的追尋其實對於駕照的管理 我們不是只有針對長者交通部一直在討論三個部分一個部分是對於新考照的改革我們希望更有鑑別度我們希望考試的難度要加高 才有鑑別度的出來
transcript.whisperx[532].start 15024.773
transcript.whisperx[532].end 15043.081
transcript.whisperx[532].text 第二個針對換照的制度我們希望針對強化這個違規者的安全駕駛風險的意識的這個回訊制度我們要建立起來那第三個才是年長者的換照制度其實這個年長者的換照制度在106年實施到現在我們中間經過了很多次的討論那我們現在也還在討論的階段也有做出了一些想法跟決定
transcript.whisperx[533].start 15051.684
transcript.whisperx[533].end 15057.531
transcript.whisperx[533].text 不然你現在的意思就是說你們說75歲要到70歲要怎麼來這個機制再做好的時候到不成會聽很多專家的意見來配合
transcript.whisperx[534].start 15066.741
transcript.whisperx[534].end 15074.487
transcript.whisperx[534].text 能夠好完善一點是不是這樣我們這個事情的進行已經有一段時間了啦我們在補來民跟專家跟學者透露有一段時間當然我們現在有一些政策的風雄確定但是有這個補分看未來要怎樣不要造成民眾最大的困擾的補分我們三個月以來我們會提出一個有這個補分部長因為我這幾年的時間也夠了但是我覺得這個問題要仔細去評估一下因為這個老人
transcript.whisperx[535].start 15096.542
transcript.whisperx[535].end 15122.544
transcript.whisperx[535].text 有時候我們的時代 健康的說實在70歲你也看不出來70歲有的看起來有60幾位人而已我要特別跟委員報告我希望我們的整體社會不要對於高齡駕駛有誤解千萬不要有這方面的誤解這個就相當重要因為我昨天有提出一個數據其實真正最高的肇事的年齡不是在高齡者所以大家第一對他不要有誤解
transcript.whisperx[536].start 15123.405
transcript.whisperx[536].end 15144.963
transcript.whisperx[536].text 第二 交通部的責任是什麼讓我們70歲以上因為台灣已經進入超高齡社會我們對於高齡者的駕駛我們要想辦法協助他跟安全的駕駛就如此而已我們不會去限制那我們要協助這才是最重要的因為你我都會老啦我們都會老所以我們要想看如何的制度如何要怎麼讓他們到三天才對我們是站在協助的角度不要說每次發生車禍就說這都是老人他們去的這樣就不好啦
transcript.whisperx[537].start 15151.448
transcript.whisperx[537].end 15166.279
transcript.whisperx[537].text 不會 社會不應該有這樣子的問題因為我覺得保障這個溝通的問題我覺得孩子最難過我認為有需要當地的政府跟基建的建設局的溝通隊多聯繫一下看要如何可以更好因為我們不能夠有這個事情來發生以上好 謝謝
transcript.whisperx[538].start 15185.709
transcript.whisperx[538].end 15186.69
transcript.whisperx[538].text 郭文貴議員郭文貴議員郭文貴議員
transcript.whisperx[539].start 15210.936
transcript.whisperx[539].end 15235.381
transcript.whisperx[539].text 我想這個去年其實11月就已經有發生過這個苗栗就是71歲的阿公他因為開車那接孫子那也就是出現這個暴衝的一個狀況那前天其實也非常的遺憾我們看到這個重大的一個事故那也造成了多人的這個受傷跟死亡的一個車禍
transcript.whisperx[540].start 15236.881
transcript.whisperx[540].end 15252.988
transcript.whisperx[540].text 那這是78歲的駕駛喔那再來就是昨天又接二連三又多了一個案件是在台南38歲的駕駛他疑似就是電線發作那造成這個交通上的一個事故喔
transcript.whisperx[541].start 15253.408
transcript.whisperx[541].end 15277.477
transcript.whisperx[541].text 其實這個凸顯整個所有在交通上的一個現行的風險不僅僅是來自於所謂的年紀那也有可能是來自他自己本身的身心的一個狀況那想說這個駕駛到底具不具備有所謂的這個安全駕駛的一個能力那針對這個事故的一些照應的分析評估啦大部分都會停留在所謂的違規的條目的記錄上面
transcript.whisperx[542].start 15279.378
transcript.whisperx[542].end 15293.154
transcript.whisperx[542].text 包含是沒讓車啦轉彎不當啦等等這一類比較表面上的一個原因但是沒有進一步的釐清這個背後是不是有所謂的這個認知或者是身體障礙的一個功能的一個退化
transcript.whisperx[543].start 15294.375
transcript.whisperx[543].end 15312.991
transcript.whisperx[543].text 這個部分換句話來講我們現在對於所謂的這個交通事故的一個研判是不是真的能夠把真正高風險的駕駛人找出來這樣子的一個問題那我想更關鍵的就是在高齡駕駛者他們如果是完成一次的換照之後那如果接下來他因為是三年嘛
transcript.whisperx[544].start 15313.431
transcript.whisperx[544].end 15327.576
transcript.whisperx[544].text 那如果之後這三年兩三年當中他的身體可能也有急速惡化或者什麼樣的一個狀況我們是怎麼樣能夠掌握到這個所謂的互通的一個機制才不會讓很多的風險就如此的放生這是我們比較擔心的問題
transcript.whisperx[545].start 15329.537
transcript.whisperx[545].end 15348.203
transcript.whisperx[545].text 那針對所謂的這個A1這一類的重大的車禍我們是不是能夠真正的從制度上去排除我剛剛所說的這些交通事故上的一個風險有沒有考慮跟衛福部來做跨部會的一些資料上的通報跟駕照的控管的系統
transcript.whisperx[546].start 15349.248
transcript.whisperx[546].end 15368.127
transcript.whisperx[546].text 報告委員您的這個建議非常的好我們交通部這邊會跟衛福部這邊來做借接在醫療方面的資訊看怎麼樣讓這個駕駛人能夠確定他是在安全的狀態之下能夠駕駛這個資料我們正在設法借接當中這個部分我們會來努力包含未來的修法的部分我們也會來努力進行
transcript.whisperx[547].start 15369.789
transcript.whisperx[547].end 15390.949
transcript.whisperx[547].text 至於所謂的認知的測驗跟體檢的一個制度其實我們都會擔心他比較過於所謂的知識化那這個知識化通常肇事者都是所謂的檢查合格他其實是合格的但問題是他肇事了那這類的評估我們怎麼樣來明確的定出他的門檻跟處理的一個機制
transcript.whisperx[548].start 15391.858
transcript.whisperx[548].end 15419.152
transcript.whisperx[548].text 報告委員 當然肇事有很多的原因不一定是跟他的體格或者他健檢方面是有關係因為肇事的原因有非常多多的樣態但是對於他整個身體的功能跟認知功能也好這個部分我們有加強我們昨天公佈的這個新的方案裡面包含針對他的危險認知還有他的認知功能這個部分我們都有加強那除此之外對於他的四肢的靈活度的這個測驗我們未來也會加進來
transcript.whisperx[549].start 15420.032
transcript.whisperx[549].end 15448.349
transcript.whisperx[549].text 然後他對於交通安全的這個觀念跟概念我們也會透過講習的方式至少半天的講習讓長者未來在換照的過程當中能夠參與這樣子的講習那如果針對不好意思沒關係實地的這個訓練如果有肇事的紀錄的話實地的訓練我們也會加入那如果他本身就有一個肇事的紀錄他將來這個所謂的駕照是不是有可能會考慮就是取消他的這個資格或者換照的一個資格
transcript.whisperx[550].start 15449.747
transcript.whisperx[550].end 15466.536
transcript.whisperx[550].text 是報告委員如果他是有造成傷亡他的駕照就會被吊銷好那如果有其他的肇事紀錄不一定有造成傷亡的話這個我們就會要求要有實地的訓練好那剛剛其實我們就高齡的部分其實另外一方面像陳部長這個在記者會當中其實也強調
transcript.whisperx[551].start 15467.757
transcript.whisperx[551].end 15495.755
transcript.whisperx[551].text 就是這個肇事者其實蠻多的族群是在18歲到24歲的這個駕駛的年輕人的部分喔那這個部分我們在這個年齡層上面有沒有一個配套可以再教育或者風險的一個預警的機制那是不是也可以比照所謂的高齡駕駛設計一個比方說先違規他違規了那我們要回訊了回訊之後呢要重新再做認證這樣子的一個機制報告委員一方面齁在新考照的這個部分我們要加嚴讓他的鑑別度要出來所以你
transcript.whisperx[552].start 15496.135
transcript.whisperx[552].end 15521.788
transcript.whisperx[552].text 即便是很年輕然後新考到駕照比較沒有經驗你也可以安全的駕駛那如果年輕然後新考到駕照但是又有一些肇事的狀況出現的話或者是嚴重的違規的狀況我們會有一個回訓的機制希望他透過回訓的機制來加強他的安全駕駛的這個意識好 那我想這個希望不要再看到類似這樣子的一個交通事故其實真的是讓人覺得非常的遺憾那我們繼續加油好 謝謝部長 謝謝主席
transcript.whisperx[553].start 15528.191
transcript.whisperx[553].end 15546.679
transcript.whisperx[553].text 好 謝謝 我們請劉許廷委員謝謝主席 陳部長有請請部長委員好
transcript.whisperx[554].start 15547.574
transcript.whisperx[554].end 15573.422
transcript.whisperx[554].text 部長辛苦了 大家都關心最近交通的悲劇大家都希望行人安全能夠再有效來提升這一次的不幸的悲劇當然也導引很多人去針對高齡駕駛的問題去做一個探討昨天我們有看到交通部提出了這個說法說要把高齡換照的年齡限制再降低我想請教一下是因為這個個案還是說你們針對這背後的可能曾經做了通案性的研究跟調查
transcript.whisperx[555].start 15574.182
transcript.whisperx[555].end 15597.05
transcript.whisperx[555].text 報告委員我們其實針對駕照管理我們這段時間都一直在檢討包含新的考照的這個管理面然後包含回訊制度的管理面第三個才是針對換照的部分那這三個部分其實我們有都都陸續在做討論那也陸續在研擬新的改革的方向我意思說你把75歲拉低到70歲你背後的比如說數據或學理是什麼
transcript.whisperx[556].start 15598.331
transcript.whisperx[556].end 15614.939
transcript.whisperx[556].text 目前各國的限制的年齡都不一樣我們的數字是從差不多10年前開始討論那個時候討論是用75歲作為界定那現在大家認為說其實高齡的駕駛的人員越來越多如果以70歲以上來說的話現在已經有182萬人的這個駕駛
transcript.whisperx[557].start 15622.102
transcript.whisperx[557].end 15650.947
transcript.whisperx[557].text 那10年之後會增加到272萬人我們認為在這樣子的年齡的級距裡面的這一群駕駛的人我們需要協助他更安全的駕駛所以你有一個背後的數據做支撐你們交通部有沒有辦法提供一些相關的資料因為我想這國會應該有很多意見嘛對不對比如說各地的A1事故又造成死傷的這樣比較嚴重的交通事故跟駕駛的年齡它是不是有一定的真相關我的意思是說你們有沒有一些這樣的一個資料作為參考
transcript.whisperx[558].start 15652.302
transcript.whisperx[558].end 15679.287
transcript.whisperx[558].text 報告委員其實數據都有啦數據都有那至於為什麼我們用這樣子的年齡或者為什麼用這些的方法其實我也跟媒體昨天在報告的時候講的說法都一樣因為其實日本比台灣更早進入高齡化社會所以他們其實已經有一段時間的努力跟演進那我們參考他們的方式我們來做符合台灣社會跟整個駕駛習慣的調整我相信你在背後應該有做完整的說明這是第一個
transcript.whisperx[559].start 15679.747
transcript.whisperx[559].end 15697.813
transcript.whisperx[559].text 那第二個是這個制度要調整或是改革後面衍生出來的兩個面向的問題第一個我覺得除了檢討駕照的制度之外也要思考硬體也就是說有高齡駕駛另外一個是老車很多是沒有最新的安全的設備比如說自動啊等等這樣一些設備以前是沒有的
transcript.whisperx[560].start 15698.493
transcript.whisperx[560].end 15725.381
transcript.whisperx[560].text 那麼相關的這些配套是不是也要跟著這次的檢討來一起來做處理讓比如說設備比如說AEB行人跟腳踏車偵測等等新車有舊車沒有它是不是跟交通事故也有一定的關聯性有沒有辦法藉這樣子的機會一併來做檢討這是本席給你的一個建議未來探討的時候也要把硬體的部分做探討第二個是你如果未來真的希望說比如說高齡的駕駛因為相對風險比較高所以希望他少使用適合運具
transcript.whisperx[561].start 15726.101
transcript.whisperx[561].end 15746.982
transcript.whisperx[561].text 那你的配套是什麼其實大眾運輸嘛我有看到你昨天記者會你講說我會補助你TPAS對不對我就免費給你月票可是關鍵還是回到我們常常在討論的問題嘛就是你即便有了一個相對低廉的票價補助但是問題是如果公車的班次不夠多路網不夠密集你沒有辦法符合這個本來生活的需要那你即便你給了他TPAS他沒有地方可以用啊
transcript.whisperx[562].start 15747.563
transcript.whisperx[562].end 15762.211
transcript.whisperx[562].text 他反而會變成說我沒有汽機車我沒有腳這個問題還是回到這個命題所以請問交通部現在這段時間新的年度或者是也許下個年度針對公共運輸大眾運輸的軟硬體改善具體的提升現在有沒有什麼新的對策
transcript.whisperx[563].start 15762.984
transcript.whisperx[563].end 15781.802
transcript.whisperx[563].text 包委員我們其實該做的補助一直都在做如果大院支持的話我們預算足夠當然我們可以做得更多所以這個部分我們繼續跟地方政府一起來努力你看我們剛剛一講這個就講說我們有做補助嘛我一直覺得票價補助只是提升大眾運輸運量的其中一種手段而已但我覺得應該是要針對
transcript.whisperx[564].start 15784.725
transcript.whisperx[564].end 15805.618
transcript.whisperx[564].text 提高大眾運輸服務量能的這個案子本身來做精準的打擊精準的補助這是對的嘛如果是都會區的話其實他的地方政府他們都有做規劃我們是站在協助的角度但是針對比較偏鄉的部分我們透過幸福巴士對啊比如說你有沒有一個專案有更多的幸福巴士我們現在已經有191個鄉鎮總共有495條的路線我剛剛有看到
transcript.whisperx[565].start 15809.46
transcript.whisperx[565].end 15837.215
transcript.whisperx[565].text 台灣市政府有一個新聞啦就是說他把那種比較偏向的路線或比較少人大的路線他就用九人座的方式嘛然後他就媒介職業駕駛嘛然後他是不是把公車的駕駛控出來去跑大客車總之類似這樣的一些政策我希望交通部也要有明確的說明也就是說我要去因應人口高齡化希望私人載具下降的時候你其他的大眾運輸的配套我覺得這也是交通部要同步注意的地方好不好 相關的規劃是不是會後我們提供一些資料讓我們做追蹤跟參考 好不好好 謝謝部長 辛苦了
transcript.whisperx[566].start 15843.851
transcript.whisperx[566].end 15846.573
transcript.whisperx[566].text 謝謝主席是不是請交通部長請陳部長黃部長陳主委
transcript.whisperx[567].start 15874.98
transcript.whisperx[567].end 15903.317
transcript.whisperx[567].text 我們三位部長早沒關係站在一起預算解凍案其實有兩個很重要的時間點一個是黨團協商很可惜黨團協商的時候我們柯總召跟副總召在吵架很多部會的幕僚在後面可以談你們有什麼困難有什麼需求
transcript.whisperx[568].start 15904.465
transcript.whisperx[568].end 15929.648
transcript.whisperx[568].text 可以提出來嘛,提出來我們來就可以處理就解凍嘛後來吵架最後無疾而終送院會去原來是在搞大罷免第二個時間點你們也可以提出解凍行政院就我了解,行政院不讓你們來解凍所以
transcript.whisperx[569].start 15931.072
transcript.whisperx[569].end 15954.679
transcript.whisperx[569].text 各部會說很多錢不夠用了像交通部很多大樓用電只能用到五點半幾點我跟你講你們活該你們不提出來啊你不能去怪這個反對黨嘛對不對但也不僅然反對黨執政黨也有提這個凍結案凍結案這個東西行之有年嘛對不對
transcript.whisperx[570].start 15956.019
transcript.whisperx[570].end 15980.264
transcript.whisperx[570].text 這不是我們國民黨發明的或是民眾黨發明的民進黨也是一樣啊這凍結案一定有嘛所以我跟三位部長你們了解一下你們有兩個很好的時間點所以你們不能怪我們你也不能在電視上說去怪說很像藍白很像在凍結你們預算當然今天的預算案解凍案
transcript.whisperx[571].start 15983.629
transcript.whisperx[571].end 16004.765
transcript.whisperx[571].text 我大概都跟他們協調好了啦應該放你們過關問題是你們去講話的時候小心一點好不好我們沒有去阻攔你啊,這個是程序嘛行政程序是這樣走了嘛,是不是那好,那請那個黃部長跟主委請回好不好,謝謝剛才那個裁劃法那個
transcript.whisperx[572].start 16016.083
transcript.whisperx[572].end 16028.495
transcript.whisperx[572].text 會計處長張處長提到因為財化法讓你們很多的錢都經費來源短促不能用處長行政院主席處也在這裡,跟這有什麼關係?
transcript.whisperx[573].start 16033.199
transcript.whisperx[573].end 16052.515
transcript.whisperx[573].text 稅入稅出中央政府稅入稅出總預算一定是在稅入既有的基礎來編列稅出的預算嘛是不是這樣你當會計當那麼久了嘛那財化法是稅源多出來的是不是超真的嘛
transcript.whisperx[574].start 16053.51
transcript.whisperx[574].end 16070.278
transcript.whisperx[574].text 但是多出來的錢啊跟你稅入稅出什麼關係你說因為財化法所以造成你錢不夠用你解釋給我聽這會影響的是未來怎麼影響因為當前因為事實上所謂的超收他其實還要還債
transcript.whisperx[575].start 16073.511
transcript.whisperx[575].end 16093.127
transcript.whisperx[575].text 跟這個沒有關係嘛 還債關你什麼事啊是國家的事你不要把你交通部看得那麼大 你還管到全國的財政啊全國財政是行政院主技術管的 不關你的事你是就你既有的行政院主技術給你的額度裡面
transcript.whisperx[576].start 16094.025
transcript.whisperx[576].end 16120.534
transcript.whisperx[576].text 你去編列預算嘛 是不是這樣是 是 沒錯我跟你講的話就不對啦沒有啊 問題是當整個行政院錢沒有的時候他會對我們交通部的所有的相關的支出一定也會緊縮那自然我們因為要滿足各地方的需要那如果稅源沒有抽抽的話怎麼辦蛤 你用電也省了嗎是 我們他的問題是在桶山嘛問題出在桶山嘛 是不是這樣
transcript.whisperx[577].start 16121.878
transcript.whisperx[577].end 16140.031
transcript.whisperx[577].text 統三你講統三嘛,跟財化法什麼關係啊?沒有因為那個是委員提案要我們對財化法對我們講做解釋你講話已經超過你的職權了,你瞭解沒有?那是行政院主計處財政部可以講這個話,你怎麼可以講這個話勒?你是交通部的會計處處長
transcript.whisperx[578].start 16142.438
transcript.whisperx[578].end 16170.651
transcript.whisperx[578].text 你這個講話已經,你代表你是行政院主席長嗎?你不是嘛?是,不代表,可是委員要求我們要回答對才有辦法對我們的影響沒有影響啦,稅入一定有多少錢在那裡嘛,你才能編稅出的錢嘛所以你操作多少,你用猜的喔?你又不是玄天上帝,也不是技工火火,你會知道你是上帝啊?你會知道操作多少錢嗎?
transcript.whisperx[579].start 16172.649
transcript.whisperx[579].end 16199.945
transcript.whisperx[579].text 再給你三兆你也不夠啦是不是好處長你請回啦早上那個王美月委員這兩天出了重大車禍部長你這個東西應該就制度上面去檢討嘛你不要一個人75歲的一個老人出了車禍你要把他改到什麼考照改到70歲
transcript.whisperx[580].start 16202.935
transcript.whisperx[580].end 16218.343
transcript.whisperx[580].text 我也是受害者,那我75歲,那我今天要去考試?沒有道理啊換照機制一直都在好沒關係,如果60歲有一個人發生了重大車禍撞死了十幾個,那你要降低到60歲嗎?
transcript.whisperx[581].start 16221.916
transcript.whisperx[581].end 16241.649
transcript.whisperx[581].text 我們不是針對單一個案來做決定的你就是為了這個事情啊你去年有提出來嗎?前年有提出來嗎?我們其實這已經演繹一段時間了沒有道理了啦會先提出來的原因是因為現在社會大家很關注我們就把我們目前演繹的結論先跟社會來做報告跟你講啦,你在應付社會啦,我沒有意見啦
transcript.whisperx[582].start 16242.829
transcript.whisperx[582].end 16256.92
transcript.whisperx[582].text 問題是你不能把制度這樣朝西令來的你要朝著制度面去走我們過去這個制度已經做十年了這個人神經有沒有問題體力有沒有問題是不是 四肢有沒有問題你就考慮這個嘛
transcript.whisperx[583].start 16258.261
transcript.whisperx[583].end 16285.094
transcript.whisperx[583].text 你把他趕到75歲我們現在都有納入了那我也是受害者你知道嗎我不是受害者嗎我不會讓您受害我們這個方案你不讓我受害是要協助年長者你以為那個S型可以隨便進去可以隨便出來的有那麼厲害喔那個不容易我們沒有說要考S型沒有考S型那考什麼考長方形還是正方形三個月之後會提出整體的方案再跟委員報告
transcript.whisperx[584].start 16287.455
transcript.whisperx[584].end 16306.509
transcript.whisperx[584].text 你可以比試,出車禍的原因很多,喝酒精神不濟我們不是為了擔任個案,我們是整體的駕照管理是包含新考照的,包含已經在路上開,但是有一些違規的樣態要回訊的機制也都有然後換照是另外一個,我們總共有三個方向
transcript.whisperx[585].start 16307.95
transcript.whisperx[585].end 16330.421
transcript.whisperx[585].text 早上在講,剛才在講,我坐在台上我是受害者我跟你講,一定有很多鄉親出來講話委員如果已經75歲,本來就是到了現行機制該換照的年齡了不是換人喔?換駕駛喔?你是叫我不要開車那個意思嗎?不會,現在很多人換照都很順利
transcript.whisperx[586].start 16331.887
transcript.whisperx[586].end 16360.734
transcript.whisperx[586].text 我現在八十幾歲啊,人家生性善良啊你要做壞事要去撞人,那沒辦法,那神經有問題你不能把神經病精神病人也統統把他算在裡面啦,是不是這沒有道理嘛我真的不是看個案不過你修這個法,你們稍微小心一點好不好你不要今天出了車禍,明天出了什麼風災什麼人禍就來啦,叫他修叫他修包委員這不是急救張的啦,我們不會做急救張的事情這是制度的整體的改善好這次到馬祖去考察
transcript.whisperx[587].start 16362.285
transcript.whisperx[587].end 16375.937
transcript.whisperx[587].text 這個大家非常辛苦啦,速發部也去了,部長也去了我也感受到你們的誠意好不好我希望大家同心協力因為馬祖是個藍白合作的地方我剛才到內政委會質詢海基會
transcript.whisperx[588].start 16382.315
transcript.whisperx[588].end 16409.976
transcript.whisperx[588].text 他幾年專門委員每天在罵連江縣政府罵陳雪生委員你們把北竿機場的配套你給我拿出來怎麼樣怎麼樣怎麼樣一直罵我們現在執政的是民進黨執政耶交通部你是執政黨的他應該去喊什麼連江縣地方黨部也好海基會的人怎麼可以去搞這個事吃飽飯錢都沒事做我才問他他吃什麼飯做什麼事連江縣黨部也在罵我們地方黨部
transcript.whisperx[589].start 16411.468
transcript.whisperx[589].end 16439.202
transcript.whisperx[589].text 你應該叫交通部陳部長下台啊對不對你要找那個何局長下台啊罵我幹什麼很奇怪你覺得我是不是勇往被罵了部長你回答我問題我不曉得他罵什麼啦沒辦法評論因為我不曉得他罵什麼他罵我鬼混啦說那個什麼黑箱作業幹什麼的是啊你是沒看到啦你的幕僚跟他們講到馬志旺去找出來看看好不好
transcript.whisperx[590].start 16440.303
transcript.whisperx[590].end 16452.711
transcript.whisperx[590].text 我再去了解一下執政黨的黨員也有執政黨,國有國法,家有家規嘛,有點規矩嘛好不好,我們共同譴責,好不好謝謝你的協助,好不好好,謝謝主席
transcript.whisperx[591].start 16466.724
transcript.whisperx[591].end 16473.708
transcript.whisperx[591].text 謝謝陳雪森委員 那個譴責你可以個人表態啦好 我們請林月琴委員麻煩我們的陳部長請部長
transcript.whisperx[592].start 16490.09
transcript.whisperx[592].end 16514.512
transcript.whisperx[592].text 好 部長午安我今天只想談一件事情就是高齡者的交通權益我想這幾天大家都心裡非常的難過可是我還是要必須提醒高齡駕駛不是只有高齡者移動權的一個表現方式它同時也是一個如何精進駕駛能力評估的問題事實上相對事實上是重要不過在台灣快速邁向超高齡因為今年進入到超高齡社會
transcript.whisperx[593].start 16515.313
transcript.whisperx[593].end 16531.425
transcript.whisperx[593].text 未來這件事情應該刻不容緩我相信部長不會反對我這樣說是吧可是部長我們來看包括針對高齡者駕照的管理制度的檢討運援所在30年這30年前就在研究了
transcript.whisperx[594].start 16532.265
transcript.whisperx[594].end 16544.685
transcript.whisperx[594].text 那到2022年甚至還提出要通盤檢討其中也都有回顧各國高齡者的換照制度就30年了那我上個會期也在這邊質詢
transcript.whisperx[595].start 16546.701
transcript.whisperx[595].end 16570.435
transcript.whisperx[595].text 不是我有未補先知事實上這個三網本來就是狀況很嚴重我提醒交通部說你的那個高齡駕駛的這樣子的一個法規有漏洞我也整理了日本南韓做法建議交通部呢應該儘速研議要做到三件事情填補我們高齡駕駛的換照制度的漏洞還有提供安全裝置的補助還建立繳回駕照的講座
transcript.whisperx[596].start 16571.977
transcript.whisperx[596].end 16590.797
transcript.whisperx[596].text 機制還有持續加強偏鄉的一個公共運輸那上週呢我跟許智傑召委呢還要找了老人福利推動聯盟跟交通的學者共同召開了記者會請交通部務必要細緻化去處理高齡駕駛人的管理我們建構
transcript.whisperx[597].start 16594.048
transcript.whisperx[597].end 16619.86
transcript.whisperx[597].text 所謂的階段性的換照政策同場我們大概也找了衛福部那一起來做這個針對於那個能力的評估這些應該要有甚至也具體建議說是不是有高齡的安全駕駛補助那我覺得很可惜的是交通部不管是書面回覆說明報告或者是記者會的回覆都是不斷的說我們會再討論那會再研議研議再研議
transcript.whisperx[598].start 16623.422
transcript.whisperx[598].end 16644.836
transcript.whisperx[598].text 就是不願意把過去做的研究跟各界的建議拿出來認真來考慮政策來推動我為什麼這樣提因為我說我去年10月23號就針對這個給了一些意見甚至我提出日本的這些日本南韓補助高齡者裝設車輛安全裝置防止暴衝部長你們素面報告怎麼回答我的你知道嗎
transcript.whisperx[599].start 16646.746
transcript.whisperx[599].end 16673.473
transcript.whisperx[599].text 我現在正在看對 正在看齁這邊寫的是什麼這邊寫的是說目前沒有車輛導入也不是聯合國標準配備所以要等聯合國納入標準配備以後再來討論要不要導入實施當時是這樣回答我可是我剛剛在聽部長在備詢的時候有某個委員問的時候你這邊說馬上三個月內就會來演議提出做法
transcript.whisperx[600].start 16674.4
transcript.whisperx[600].end 16691.952
transcript.whisperx[600].text 我去年十月二十三的時候然後你們十一月八號的時候書面回覆我說要等聯合國要等聯合國三個月是評估不是一定會做我們要看我的預算規模做不做得到至少他好像也比我進一步那時候你還說要等聯合國納入標準配備之後才來去做
transcript.whisperx[601].start 16693.893
transcript.whisperx[601].end 16714.481
transcript.whisperx[601].text 討論那何時聯合國那現在聯合國也還是沒有納入納入標準啊那你們這時候說要討論那如果剛剛部長講說你剛回答那個委員是講說你那時候才來討論那這似乎不管怎麼樣聯合國已經有納入了啦然後我們也已經有在這個小車的這個配備的要求裡面有做預告現在已經在預告當中了
transcript.whisperx[602].start 16715.31
transcript.whisperx[602].end 16735.512
transcript.whisperx[602].text 所以我希望不要因為高齡價值發生問題的時候我們才來做因為每一條人命都是非常珍貴那是人家辛辛苦苦養出來的孩子那是期盼他回家的媽媽不能回了家所以我希望交通部不是用這樣子來針對這個還在拖延
transcript.whisperx[603].start 16738.295
transcript.whisperx[603].end 16753.885
transcript.whisperx[603].text 那再來我們要看到交通安全事實上是一直是我很關心的所以每一次部長來我一定都會來質詢可是我還是希望能夠持續透過各種方式監督所以我這邊再一次提醒日韓都有階段性換照不要說我們現在下降年齡
transcript.whisperx[604].start 16755.166
transcript.whisperx[604].end 16772.484
transcript.whisperx[604].text 下降年齡如果他能力上有困難的話你基本上還是沒有解決問題所以我覺得那個階段性的換照制度是不是可以去做還有一個要規劃有階段性的追蹤這個人不會是今年檢查OK可是明年呢
transcript.whisperx[605].start 16773.024
transcript.whisperx[605].end 16787.49
transcript.whisperx[605].text 也要不要有階段性的去追蹤所以我也同意年齡不是一個單一的駕駛安全的單一決定因素所以我們需要更細緻的而且希望能夠對於有鑑別度的身心能力檢核
transcript.whisperx[606].start 16788.735
transcript.whisperx[606].end 16812.057
transcript.whisperx[606].text 否則的話一跨過75歲那現在有沒有比較年輕失智的有啊那跨75歲可是有沒有他能力上有沒有可以不同的分多面向的篩檢跟評估機制那所以我們希望將不但我也非常肯認你們在5月20號開記者會去做這樣的一個說明可以去提出來
transcript.whisperx[607].start 16812.717
transcript.whisperx[607].end 16826.533
transcript.whisperx[607].text 我也希望部長一直以來都也很用心在這一塊可是速度可不可以加快一點所以最後我就建議是不是來最後我建議大概三點主張也就是
transcript.whisperx[608].start 16827.654
transcript.whisperx[608].end 16848.957
transcript.whisperx[608].text 能不能會同社政主管機關共同研商我們精進高齡駕駛能力評估機制一定要做他的能力評估這個國外也有一套做法我建議交通部應該要參採第二個是不是針對高風險違規駕駛人的管理應該研商結合醫療跟保險機制的可行性還有我覺得偏鄉
transcript.whisperx[609].start 16849.958
transcript.whisperx[609].end 16861.335
transcript.whisperx[609].text 因為如果偏鄉沒有機車沒有汽車的話老人家大概我們也不能影響到他的移動權所以這邊都要去考慮所以希望部長不要再遲到了好 謝謝
transcript.whisperx[610].start 16870.239
transcript.whisperx[610].end 16898.222
transcript.whisperx[610].text 好 謝謝您的請委員那天我正好有跟他開記者會希望部長這裡再幫忙多加強謝謝我們請邱志偉委員好謝謝我們主席小金剛這個我是邀請這個交通部陳部長陳部長
transcript.whisperx[611].start 16905.558
transcript.whisperx[611].end 16915.812
transcript.whisperx[611].text 部長這個教務業務非常多啊那你在那麼多的業務在那麼短時間之內充分掌握而確實執行到位所以內閣裡面滿一度啊
transcript.whisperx[612].start 16916.823
transcript.whisperx[612].end 16944.259
transcript.whisperx[612].text 好感度最高的就是您了我對你們的工作表示肯定也對交通部的團隊大家齊心協力為了國家的交通建設努力我這邊表示最大的這個感謝謝謝委員他說感謝之後還要拜託有幾項建設這個我具體提出來就是柳蛙山窟也許未來也可能是這個許智傑的選區也不一定
transcript.whisperx[613].start 16948.256
transcript.whisperx[613].end 16954.801
transcript.whisperx[613].text 來 菜寮路啊 菜寮路在貢山那個是一個非常重要 雖然是在山區但是我看了好多次就是缺經費
transcript.whisperx[614].start 16956.645
transcript.whisperx[614].end 16985.765
transcript.whisperx[614].text 岡山區高層有菜頭路拓寬工程那如果不拓寬它那個就是用路的安全就會受到很嚴重的威脅第二會有車禍所以它是一般型的計畫那當然市政府當然財源有限我是希望說在有限的市府經費之下是不是公路局能夠納入這個拓寬工程讓經費能夠到位讓這個長期來困擾這個菜頭路沒有辦法拓寬這些市民朋友讓他們更安心
transcript.whisperx[615].start 16986.665
transcript.whisperx[615].end 17007.757
transcript.whisperx[615].text 所以這點可以請補助來幫忙好 報告委員那個高雄市政府如果提出申請的這個補助補助的申請的話我們就會請公路局來做這個研議已經有提出了生活圈的補助的部分已經有提出了它排序的部分我也請他們盡量拉到前面來那如果到部裡面的時候我也懇請部長能夠支持好 我們盡力來協助
transcript.whisperx[616].start 17009.258
transcript.whisperx[616].end 17034.48
transcript.whisperx[616].text 另外台61線從北到巴黎一直到目前的征文溪口這個是我大概如果沒記錯的話大概是10年前的提案我臨時提案提出這個台61線不能只做征文溪口必須要跨國征文溪口往南做到高雄經過協定 經過永安 經過彌陀一直到紫關 一直接到南紫
transcript.whisperx[617].start 17035.5
transcript.whisperx[617].end 17058.566
transcript.whisperx[617].text 這個台六十一線才能從北貫穿到南部所以這部分因為我提案也 交通部也 立任部長也都支持了所以我這部分是因為在台南那一段有路線的問題因為有一些失地跟一些國家公園所以它的難度會比較高一點 還要提供很多環評但是在我這一段高雄端這部分反而比較容易去克服
transcript.whisperx[618].start 17059.226
transcript.whisperx[618].end 17070.516
transcript.whisperx[618].text 所以高雄段的部分是不是可以優先來施作優先施作當然需要經費經費我希望說部裡面能夠大力支持但是經費不少但是如果
transcript.whisperx[619].start 17071.542
transcript.whisperx[619].end 17100.72
transcript.whisperx[619].text 有 先期的經費下去我想我跟許智傑一起努力我們也許再邀請部長去看一下實際上哪些的高雄端是可以優先施作的所以這部分我已經質詢會堪說明會辦了17次是 報告委員 等這個預算行政院核定之後我們會優先施作來優先施作高雄這一段高雄這一段如果可以優先施作我相信對於地方的交通會有很大的幫助
transcript.whisperx[620].start 17101.42
transcript.whisperx[620].end 17124.085
transcript.whisperx[620].text 所以您是同意以支持這部分優先施作所以我們預算如果合定之後我們會優先施作高雄這一段預算我們一起來努力那如果一旦合定我希望說部長能夠見急履急然後把高雄段這部分先處理那另外軌道建設很重要軌道建設一般都是需要中央補助的財源那高雄的捷運路網捷運路網裡面現在紅線黃線
transcript.whisperx[621].start 17128.607
transcript.whisperx[621].end 17153.125
transcript.whisperx[621].text 這個另外就是橘縣那現在就是另外一個紫縣我想這個徐志杰委員長期在交通委員會他很關心紫縣的部分是橫的橫的從西邊的我希望可以延伸到紫關靴鵝阿寮有一個紫關鵝阿寮直線然後貫穿所有的大學靴園區所以這部分我目前因為前瞻基礎建設軌道建設這個還很多件
transcript.whisperx[622].start 17156.767
transcript.whisperx[622].end 17175.186
transcript.whisperx[622].text 這些都需要中央來來指引這個部分是不是可行性研究已經報到交通部審議了目前在做修正那這樣往來聞來聞去也一年了是不是在目前針對紫縣的審議的效率能夠能夠提升我希望說
transcript.whisperx[623].start 17178.9
transcript.whisperx[623].end 17197.519
transcript.whisperx[623].text 盡快把它完成我們會盡量跟高雄市政府兩邊來配合啦我們加速讓這個程序可以走快一點修正的速度也要加快一點公文王已經一年了所以這個我特別提出來再請部長再去跟相關同仁講這個效率能夠再提升好我們來努力好謝謝部長謝謝吳同仁謝謝趙偉
transcript.whisperx[624].start 17203.653
transcript.whisperx[624].end 17212.822
transcript.whisperx[624].text 謝謝 持之委員我們請部長那個儘快幫忙還有那個捷運啊 紫縣現在還有反應到岐山也幫忙在我們規劃一下好 謝謝謝謝 我們請12號委員
transcript.whisperx[625].start 17226.84
transcript.whisperx[625].end 17228.242
transcript.whisperx[625].text 好 謝謝趙偉 那也請部長請部長 陳部長
transcript.whisperx[626].start 17238.066
transcript.whisperx[626].end 17262.682
transcript.whisperx[626].text 部長好那當然本席也是要肯定交通部對於這個三峽這個事件來講那針對長者的就是駕駛制度有做第一時間的回應那當然說這個三峽這個老翁的就是撞到學生的這悲劇真的是讓社會各界都感到非常的悲痛
transcript.whisperx[627].start 17263.502
transcript.whisperx[627].end 17285.62
transcript.whisperx[627].text 非常的難過那本席想要接的因為剛才許多的委員他們其實都有詢問到就是高齡駕駛制度那現在從75歲要降到70歲那其實辦公室大家也討論了很多那這個到底換照70歲跟75歲目前要增加的駕駛人要換照的駕駛人數是多少
transcript.whisperx[628].start 17288.742
transcript.whisperx[628].end 17298.647
transcript.whisperx[628].text 報告委員我們目前大概如果以今年來算的話大概會有182萬人從70歲往上算會有182萬人那10年之後會有到272萬人那75歲以上以現行來講換照的這個比例有來去進行這換照的人數大概有多少換照的比例有90%
transcript.whisperx[629].start 17311.933
transcript.whisperx[629].end 17330.184
transcript.whisperx[629].text 目前從106年執行到現在我們就是符合這個需要換照有86萬多那現在已經辦理完畢的是80萬5000那針對這個70歲以上要來做換照將來的一個通知的方式預計要怎麼樣通知才能夠齊全因為
transcript.whisperx[630].start 17333.186
transcript.whisperx[630].end 17348.023
transcript.whisperx[630].text 我坦白說這個長者啊那他們是不是能夠確實的被通知到他們要換照那當然說以社會事件來讓大家矚目那當然說這是大家現在也都知道就是長者駕駛的一個安全性
transcript.whisperx[631].start 17348.624
transcript.whisperx[631].end 17366.158
transcript.whisperx[631].text 那如果說許多的長者甚至他的家人是不是能夠確實知道他們要換照以及包括在換照的包括是健檢體檢包括或是包括他們的感知測試等等的這個部分是不是他們第一都是不是有充分的學習能夠讓他們理解到他們需要換照
transcript.whisperx[632].start 17367.198
transcript.whisperx[632].end 17394.74
transcript.whisperx[632].text 通知的部分因為我們過去已經執行了很多年106年一直到現在所以通知的部分沒有問題我們只是把目前增加的年齡層的部分通知一樣是照過去的方式來通知這個沒有問題那未來整個檢測的過程當中我們也會有一個詳細的計畫做出來之後讓所有的需要換照的這個年長者他們都能夠很清楚的知道那應該要怎麼做怎麼樣便利的去做換照的動作這個我們也會一併來思考
transcript.whisperx[633].start 17395.543
transcript.whisperx[633].end 17423.236
transcript.whisperx[633].text 因為本席還是在這裡還是要強調一下就是我相信其實許多的年長者就是高齡者他們的家人就是甚至可能不一定清楚他們要去做一個換照動作那當然說我相信監理站這邊其實都有盡可能來進行通知那包括許多如果說家人他們都不知道的情況之下那是不是這些長者都能夠確實知道要被通知到要換照而且這個制度如果將來要改到70歲預計多久之內會實施
transcript.whisperx[634].start 17424.538
transcript.whisperx[634].end 17452.871
transcript.whisperx[634].text 報告員我們希望在115年也就是明年可以來實施這樣的新的政策對那這個能夠落實通知那同樣的是盡量也配合警政單位能夠在社區或是包括在相關的老人會都能夠來去做一個通知到那編列的這個宣傳的話目前是會有編任相關的宣傳或者是就是怎麼樣的方式能夠來做通知明年會有相關的預算那另外我們也會跟地方政府來配合包含鄉鎮公所也好或者是地方的縣市政府
transcript.whisperx[635].start 17453.271
transcript.whisperx[635].end 17472.706
transcript.whisperx[635].text 大家會一起來合作來做這個同事的動作那另外的話就剛才其實有些委員有提到這些年長者他們不僅是換照的一個鼓勵制度啊那我覺得其實兩百塊或者是小禮物的話可能還不足以能夠成為他們來換照的誘因啊那有沒有再有其他的方式
transcript.whisperx[636].start 17473.266
transcript.whisperx[636].end 17496.989
transcript.whisperx[636].text 我們來想想看獎勵跟誘因的方式我們再來思考看有沒有更有更有吸引力的方法好那再來的話就是他們現在來講如果長者的這個車輛啊他們不管是有沒有在比較新的車輛有輔助駕駛的系統或者是包括他們年長的這種類似房子爆充的這些系統或設置的補助那目前以你規劃的方式如何
transcript.whisperx[637].start 17497.612
transcript.whisperx[637].end 17517.059
transcript.whisperx[637].text 報告委員,科技的防治的部分其實在現在新車裡面都有,那對於舊車的部分,因為今天有好幾位委員都提到這個問題,我們來研議看看,因為這個牽涉到第一預算規模,第二執行層面,在台灣的量能有沒有辦法去真正落實到執行,這個我們還要再研究一段時間。
transcript.whisperx[638].start 17517.919
transcript.whisperx[638].end 17545.121
transcript.whisperx[638].text 因為我是覺得在剛才一些委員的質詢的時候確實是還沒有得到會不會有這樣子一個補助方案那當然說新車來講的話都一定會有相關的補助系統那我是覺得說那舊車相對量比例會是比較少所以我會建議說可以的話還是正向是不是來去做一個補助系統的一個補貼措施那我覺得說這樣子對於長者來講不僅鼓勵他們換照也鼓勵他們在道路行程上是安全駕駛
transcript.whisperx[639].start 17545.802
transcript.whisperx[639].end 17547.403
transcript.whisperx[639].text 主席 因為大家都辛苦了那我想在這裡
transcript.whisperx[640].start 17569.944
transcript.whisperx[640].end 17598.991
transcript.whisperx[640].text 還沒有執行以前我特別就請主席做一個宣告也就是我們明天那個資通安全法的審查因為總共有19組包括行政院所以這個部分就是要先預告一下明天是要逐條宣導或者是答詢已經答詢過了所以這個拜託主席拜託主席就讓大家
transcript.whisperx[641].start 17600.372
transcript.whisperx[641].end 17617.288
transcript.whisperx[641].text 要不要主條要不要直接審或者要全部宣讀這個部分就請主席可能要讓我們交通委員的所有的委員啊預備時間所以這個特別跟主席做一個建議好 那個請陳部長交通部陳部長來 數位部我們黃部長請黃部長
transcript.whisperx[642].start 17628.357
transcript.whisperx[642].end 17656.724
transcript.whisperx[642].text 好兩位部長所謂我們的官員大家辛苦了到現在都還沒有用餐那因為我會遵守一些時間不要用得太長那特別因為陳部長我一向在執行對於你所有的工作表現我都加以肯定但是在這裡特別也要來談就是因為我們所有立法院的同仁都已經談過了也就是三峽這個案子的問題
transcript.whisperx[643].start 17657.944
transcript.whisperx[643].end 17673.902
transcript.whisperx[643].text 也就是原本交通改革可以講說是失敗的那我也反對說實在的我基本上我也反對你們在幾年前開始在研究要把年齡降低可是現在不要忘了現在年齡的問題
transcript.whisperx[644].start 17675.484
transcript.whisperx[644].end 17691.583
transcript.whisperx[644].text 根本我們的遺命是越來越高的那我們的政策以前研究的跟現在是套不起來的所以我要建議部長啊年齡絕對不是絕對造勢原因之一所以這個
transcript.whisperx[645].start 17693.124
transcript.whisperx[645].end 17713.333
transcript.whisperx[645].text 當然你們有你們的想法可是我還是要拜託在這個部分移民越長的當中你降的越低這是不是解決交通唯一一個辦法另外一個辦法就是硬體改善非常重要
transcript.whisperx[646].start 17714.053
transcript.whisperx[646].end 17740.762
transcript.whisperx[646].text 也就是什麼硬體改善你看看發生之後的都是不是邪笑就是邪聲啊發生這種不幸那當然我們心裡面啊有感而發感同身受說實在的我們誰沒有子女當然看到這發生這種事情心裡面會非常的氣開但是我還是要建議除了聯名之外
transcript.whisperx[647].start 17741.522
transcript.whisperx[647].end 17759.497
transcript.whisperx[647].text 但是硬體的改善是非常重要的所以部長我也要希望兩位師長就黃師長跟林師長要特別特別你不要上來沒關係啦反正你們不能老是一直坐在辦公室裡面想你們的想法
transcript.whisperx[648].start 17761.217
transcript.whisperx[648].end 17784.266
transcript.whisperx[648].text 實際的解決問題就像如果是在學校你可以弄一個專案去辦什麼就辦一個硬體改造如何碰撞只要有學生的地方我應該要去做什麼東西這個硬體改善也是非常重要所以我還是希望第一個聯名不是絕對改善交通人文事故的一個問題第二個
transcript.whisperx[649].start 17785.766
transcript.whisperx[649].end 17811.619
transcript.whisperx[649].text 也就是硬體改善如何補助各地方政府去把這些緩緩的動作去把它做好這個要雙方面來去做這些決定不是把年齡降低以後事情就不會發生沒那麼簡單啦 沒弄所以我希望這個你要把它當成是一回事然後來做一些研究參考國外
transcript.whisperx[650].start 17812.539
transcript.whisperx[650].end 17834.909
transcript.whisperx[650].text 參考我們這個好 接著下一張來好 所以這個都不是主要的啦來 接下來好 那這個還有一點我還要建議啦真的要換照那還是要考慮它違規紀錄的這些要納入考慮就像那個三峽這個案子78歲這個這個疑性這個肇事者
transcript.whisperx[651].start 17838.63
transcript.whisperx[651].end 17866.124
transcript.whisperx[651].text 我說實在的他已經有前車之鑑已經有記錄了他還是二月份就可以去換照成功這一點我是認為我們還是要納入改革的方向好不好所以針對這個部分我要拜託部長還是你有你的想法但是我不希望你們以前所做研究現在事實上是不符合時代的不是降年齡就可以解決啦
transcript.whisperx[652].start 17867.205
transcript.whisperx[652].end 17871.618
transcript.whisperx[652].text 所以多方面的去做改革才有辦法建這個那最後部長你可以請回來
transcript.whisperx[653].start 17876.172
transcript.whisperx[653].end 17899.839
transcript.whisperx[653].text 部長你可以請回陳部長好我最後的時間啊算那個也不要用太多黃部長你知不知道你們在補助啊拿了補助以後拿了補助以後啊卻對以中共的做比較來你看一下這個拿了台灣的補助
transcript.whisperx[654].start 17901.235
transcript.whisperx[654].end 17928.815
transcript.whisperx[654].text 給中國的優惠這點我跟你講我不是反對跟中國而是這種東西台灣跟中國要對等這也是我們政府啊一直在要求的東西耶你怎麼拿我們台灣的補助那中國優惠台灣不優惠這是不公平的報告 報告委員這個我們不是補助他研發並沒有補助他行銷這個事情我們會再跟你們要就正啊我們會以後你們要就正啊
transcript.whisperx[655].start 17929.655
transcript.whisperx[655].end 17945.925
transcript.whisperx[655].text 是我知道你們是補助他幫助這些整個樹會 研發的進步但是他來做這種東西會給我們老百姓覺得我買他的東西我可以買到那個880可是中國就可以買到294塊
transcript.whisperx[656].start 17948.226
transcript.whisperx[656].end 17966.671
transcript.whisperx[656].text 這不公平嘛你雖然補助他研發但是在這個部分是不對的所以我一向我對對岸我也是非常友善的但是如果對我台灣人民的不公平那我也是反對所以你補助他怎麼去做這個事呢
transcript.whisperx[657].start 17967.691
transcript.whisperx[657].end 17982.506
transcript.whisperx[657].text 不是這個一向我就認為一定要對等你要賣給大陸多少錢我沒意見給他們優惠我也沒有意見但是我台灣的消費者我也一樣啊怎麼會這種懸殊這麼大就會產生什麼產生台灣的人民
transcript.whisperx[658].start 17989.173
transcript.whisperx[658].end 18013.186
transcript.whisperx[658].text 是 為什麼會這樣 可是你們的理由說 我補助他是做研發 發展工作但是我還是要拜託部長 以後再補助 這些東西一定要訂得很清楚你被我抓到 以後我就不補助 這一點可以做得到吧行銷部門我們會再看怎麼樣去加強你行銷 你又不是經濟部 你是研發的部份 好不好
transcript.whisperx[659].start 18015.627
transcript.whisperx[659].end 18041.783
transcript.whisperx[659].text 那個署長你們要注意這個啦好不好我跟你講這個會給台灣人民覺得是有一種不公平的對待我同意我們跟大陸一定是對等的情況之下大家來做補助我也認為應該補助的就補助但是不能讓我台灣人民覺得為什麼他比較便宜為什麼我比較貴
transcript.whisperx[660].start 18043.38
transcript.whisperx[660].end 18054.367
transcript.whisperx[660].text 這個部分 柏中你了解嗎 好不好所以這個以後可能要特別注意一下 好不好好 謝謝好 謝謝林國成召委這位請林柱英委員發言林柱英不在 請楊瓊英委員發言
transcript.whisperx[661].start 18073.463
transcript.whisperx[661].end 18080.591
transcript.whisperx[661].text 謝謝主席,楊全發言邀請部長好,請陳部長嗎?交通部還是?交通部好,陳部長委員好
transcript.whisperx[662].start 18090.42
transcript.whisperx[662].end 18106.784
transcript.whisperx[662].text 新北三峽區發生了這個重大的事情全國都很緊張大家想要知道到底是什麼原因那同時也希望能夠知道政府的應對方式所以我們看到呢在這個
transcript.whisperx[663].start 18109.637
transcript.whisperx[663].end 18129.974
transcript.whisperx[663].text 2017年的時候我們有實施75歲以上高齡者的駕駛人換照的這機制而且每三年要重新的來評估認知跟身體的機能但是我們看到這個數據去統計的這個數字也就是有5.6萬人沒有完成換照的手續這是第一個議題
transcript.whisperx[664].start 18131.115
transcript.whisperx[664].end 18148.957
transcript.whisperx[664].text 第二個有20.5萬人是83歲以上的長者他因為早年制度他就排除掉了他排除掉20.5萬人所以他這兩個部分他沒有換照他沒有排除所以他仍舊是有效的駕照
transcript.whisperx[665].start 18150.881
transcript.whisperx[665].end 18165.729
transcript.whisperx[665].text 那在這樣的情況之下他沒有經過定期的一個評估那似乎大家提出了這個疑慮所以請教 請教部長在目前我們面臨到了這樣的一個情況我們要怎麼樣
transcript.whisperx[666].start 18167.37
transcript.whisperx[666].end 18185.94
transcript.whisperx[666].text 去優化值呢我們的方案應對是什麼請做說明好 報告委員整體的這個駕照管理的部分我們其實分三個部分一個是新考照的部分那第二個是考完照之後你有違規或者是造勢的樣態我們需要有回訊的機制這個是另外一個
transcript.whisperx[667].start 18186.72
transcript.whisperx[667].end 18199.614
transcript.whisperx[667].text 現在社會上大家比較關注的是年長者的換照年長者的換照我今天早上的說明其實也有說明過台灣已經很快速的進入了超高齡社會現在有182萬人是70歲以上的價值人
transcript.whisperx[668].start 18202.017
transcript.whisperx[668].end 18222.936
transcript.whisperx[668].text 那10年之後會有272萬人這是相當大比例的一個人口的數字那我們就要有更完善的協助年長者的這個安全駕駛的協助的機制所以我們會用換照的模式來協助這些年長者在換照的過程當中我們除了認知測驗之外還有危險感知的測驗另外我們針對
transcript.whisperx[669].start 18224.737
transcript.whisperx[669].end 18252.952
transcript.whisperx[669].text 學習的部分我們的這個課程也會加進來讓他可以做訓練這個部分我們一樣一樣都會加進來所以未來在年長者的部分我們甚至在年齡的部分當然我們現在仿效日本因為日本其實比我們更早十年進入超高齡社會他們對於高齡者的這個駕照的管理其實有一套的機制他們有兩個方案去處理他的管理機制而且他將他的車子防衝爆
transcript.whisperx[670].start 18254.273
transcript.whisperx[670].end 18269.898
transcript.whisperx[670].text 這也是一個方法所以本身要請教的就是說我們目前所面臨到的這一些我們是越來越多的年長者他們也有這個需求所以我們要怎麼樣政府的方案到底是要怎麼樣
transcript.whisperx[671].start 18271.199
transcript.whisperx[671].end 18289.232
transcript.whisperx[671].text 那您照上也說了是不是將75歲來調降為5歲調降到70歲那原本的身體機能評估認知這個是原本就已經有了我們會再更加強那你要更加強所以本席要請教你們具體的時間表我們總是知道我的問題
transcript.whisperx[672].start 18290.513
transcript.whisperx[672].end 18316.093
transcript.whisperx[672].text 社會的問題在哪裡希望大家都能夠安心那所以你多久時間可以把你的精進方案拿出來報告委員我們在三個月之內會提出精進的方案那我們希望在明年度也就是115年度可以來落實這樣子的方案三個月拿出你們的精進方案第二個針對於這20.5萬83歲以上的長者早年制度排除的這部分怎麼處理呢
transcript.whisperx[673].start 18317.595
transcript.whisperx[673].end 18320.018
transcript.whisperx[673].text 報告委員這個部分我們還是盡量想辦法把它納進來
transcript.whisperx[674].start 18321.989
transcript.whisperx[674].end 18347.526
transcript.whisperx[674].text 是跟委員報告這一個83歲以上的其實這個目前其實多數的這個年長者其實並沒有開車那動態的管理我們在83歲以上的話他有其他還有在使用車輛而且有違規的話那我們會就是通知他們三個月內也是要來做這一個我們的認知功能測驗所以這個結論也就是本席具體建議給我們部長
transcript.whisperx[675].start 18348.587
transcript.whisperx[675].end 18373.79
transcript.whisperx[675].text 我們發覺到這樣子的問題的樣態人數都已經告訴你我們要怎麼樣去精進優化這非常重要我期待給你您說的三個月內的這個方案趕快要給社會大眾去安心去安心接下來本期要請教今年1月到4月我們高工局的統計國道共有17起的AI交通事故
transcript.whisperx[676].start 18374.39
transcript.whisperx[676].end 18393.237
transcript.whisperx[676].text 造成了人員當場或者24小時死亡的交通事故那是22人死亡那其中有14起的肇事形態是追撞的事故我們比較去年同期是8起所以它的增加率是75%面對這樣子75%
transcript.whisperx[677].start 18397.618
transcript.whisperx[677].end 18417.326
transcript.whisperx[677].text 增加的這個逐年升高的致死風險所以本學要在這邊請教部長你針對於AI這樣子的AI類的一個追蹤事故它的一個年增率是如此那這樣子的情況之下高風險的區域你要有什麼的方案來應對呢
transcript.whisperx[678].start 18418.422
transcript.whisperx[678].end 18444.262
transcript.whisperx[678].text 是 報告委員 這個我看了這個數據之前高工局也有讓我知道這件事這個追撞的案子確實一直在增加那我們現在正在分析說他這些案例到底是為什麼追撞會這麼快速的增加那防範的部分當然除了宣導以外更重要的是事情如果沒有分析出原因我舉個例啦 不一定你那個分析要多久時間因為大家非常的希望一定要安全你自己都知道
transcript.whisperx[679].start 18444.983
transcript.whisperx[679].end 18460.699
transcript.whisperx[679].text 高官主席給你看過 自己要知道這是嚴肅的議題而且它的增加率這麼高 我們觀光統計1到4月份就這樣子70幾% 這嚇死人了那這怎麼辦呢 生命誠可貴那你知道原因 那你們分析大概要多久時間
transcript.whisperx[680].start 18465.105
transcript.whisperx[680].end 18476.341
transcript.whisperx[680].text 一個月內分析出來應對方案去執行之 討論可以去執行之以防範這樣的一個安全最後一個議題我具體給你也就是台鐵北迴線
transcript.whisperx[681].start 18478.465
transcript.whisperx[681].end 18499.925
transcript.whisperx[681].text 那我跟您討論的是像這一次呢何人跟到那個崇德的這一段土石流沒辦法老天爺給我們這樣子的一個考驗大家全力以赴我們現場的工作人員投入了搶救連續工作14個小時都沒有換班都沒有換班我們長官要去他們還在那邊等所以基層生意很大
transcript.whisperx[682].start 18500.976
transcript.whisperx[682].end 18510.599
transcript.whisperx[682].text 已經違反了我們的勞基法那部長你認為這樣的事情OK嗎可以如此嗎我們搶救就是一定要搶救我們的員工全力全力全力以赴我們要讚許他在他們沒有搶救的時間點還要讓他們在那邊等待你覺得適度嗎是有一點耽擱但是是有換班所以不可以耽擱啊對不對
transcript.whisperx[683].start 18526.164
transcript.whisperx[683].end 18548.385
transcript.whisperx[683].text 你們怎麼沒有違反就已經超過了啊怎麼會沒有違反是接班的人的這個交通問題所以他雖然有點耽擱但是都有換班所以我們的人員第一線他已經那麼辛苦了你們要照顧他啊我們一定會照顧集成員工是不是不可以再讓他無謂的浪費他的時間啊他已經這麼辛苦了啊是不是好謝謝委員
transcript.whisperx[684].start 18558.497
transcript.whisperx[684].end 18585.823
transcript.whisperx[684].text 剛剛那個林國神召委問的明天的會議是進行資通安全管理法修正草案的逐條審查那共有20案那因為本會4月24日第8次會議已經巡打完畢因此明天就不再進行巡打於繼續宣讀增列的6個草案條文後即進行全部20個草案逐條審查的處理OK
transcript.whisperx[685].start 18586.578
transcript.whisperx[685].end 18601.606
transcript.whisperx[685].text 好 先我們請羅廷偉委員好 謝謝主席我們先有請速發部部長請黃部長交通部部長請準備 謝謝
transcript.whisperx[686].start 18608.117
transcript.whisperx[686].end 18628.772
transcript.whisperx[686].text 好 部長剛剛有委員所提到的這個百箭桃要賺奇談那您目前知道這個網路事件嗎就是那個你說那個我們補助的那個補助的金額給他們然後讓他們去研發然後最後他的價格最後竟然比中國還高甚至有比韓國日本都高出來
transcript.whisperx[687].start 18629.932
transcript.whisperx[687].end 18655.139
transcript.whisperx[687].text 那這個部分沒關係你已經有講了就是說你是補助研發的部分我們都支持國產嘛我也開了好幾次的一些公聽會也都有找你嘛對不對那不只是電競不只是國產遊戲我們都支持但是現在問題點出現了嘛未來這些補助的研發資金我們可不可以去設定一些內規或者是跟他們做廠商的探討未來這些的定價不要再有再下一次
transcript.whisperx[688].start 18656.178
transcript.whisperx[688].end 18676.958
transcript.whisperx[688].text 做出一個示範給大家看這個部分您覺得呢那個我想可以從這個將來這個合約上看怎麼去規範不過有一些比較麻煩就是因為他們有時候是經過行銷公司那個行銷公司這個就是說我們當然行銷公司可能他有一些售價的一些策略這個我都知道可是我要求是說已經拿了補助了嘛
transcript.whisperx[689].start 18677.398
transcript.whisperx[689].end 18705.116
transcript.whisperx[689].text 拿了補助他就應該我們要有這個行政機關我們主管機關應該要給他一些規範或者是給他一些勸導甚至是給他一些指引告訴他可能會衍生出後續的一些公關危機嘛所以這部分我希望說從這一次的事件我們內部是不是能夠研討一下我們會再看內部以後怎麼樣做你後續的資料可不可以給我你們研討的經濟方案怎麼去改善這個資料可以給我嗎未來怎麼樣去這方面的問題怎麼去預防我們在部長大概多久可以給我一個月吧
transcript.whisperx[690].start 18707.517
transcript.whisperx[690].end 18721.732
transcript.whisperx[690].text 陳國長
transcript.whisperx[691].start 18724.335
transcript.whisperx[691].end 18741.172
transcript.whisperx[691].text 部長好部長昨天有開記者會對於我們這個重大的交通事故所產生的這些後續政府的一些對策我想網路上的一些評論你有稍微看嗎雖然你也很忙但是因為你也是年輕人應該都會看網路的評論對於你面對問題願意解決問題
transcript.whisperx[692].start 18745.939
transcript.whisperx[692].end 18762.635
transcript.whisperx[692].text 其實多半民眾跟網友是給予正向的但是還是有很多人擔心是不是這個風頭過了實際的政策有沒有真的到位改善我們是很擔憂的對於改善改革的這個期程可不可以加快
transcript.whisperx[693].start 18763.095
transcript.whisperx[693].end 18790.91
transcript.whisperx[693].text 好 報告委員我們三個月以內會提出細部的計畫因為這個事情牽扯其實相當的廣包括我們未來整個檢測的但我要提醒的是所以三個月以內會提出細部你雖然說三個月了但我要提醒的是很多的事情讓民眾會如此的擔憂不是說無中生有一定是有潛力就是我們面對網路新聞媒體的速度很快但是後續真正去實際政策改革的時候很慢我怎麼說我們升降尾門
transcript.whisperx[694].start 18792.267
transcript.whisperx[694].end 18820.567
transcript.whisperx[694].text 所產生的事故所造成的傷亡您目前掌握有多少人升降尾門貨車會有所謂的卸貨有一個升降尾門然後他在停的時候卸貨造成這個升降尾門呈平線然後變成視野無法去辨識造成撞擊產生的死亡您知道這個有死亡事故嗎這個事故我不曉得數字
transcript.whisperx[695].start 18821.888
transcript.whisperx[695].end 18848.624
transcript.whisperx[695].text 來 我也不曉得數字啊但我要簡單跟你講網路搜尋我們都有一些相關的新聞報導兩年前就有一起兩年有點久了那每一起事故所造成他是死亡喔造成死亡我們就必須要改革嘛兩年前了這樣子的事故發生我們也沒有去做改革啊到三個月前你問你旁邊三個月前是不是還有一名我記得是夫妻造成傷亡對嗎
transcript.whisperx[696].start 18852.56
transcript.whisperx[696].end 18876.687
transcript.whisperx[696].text 跟我們報告就是說呃就是停在路邊卸貨而這一個升降尾門操作不當而造成這一個呃受傷的部分的話就是說呃會有這樣操作不當我用字再更精準一點他基本上是已經完全停放在那邊了啦沒有在使用了但是就是因為他是平行線的然後升降尾門層層一條線啊黑暗的時候呢的確也看不太清楚直接就撞上了
transcript.whisperx[697].start 18877.367
transcript.whisperx[697].end 18892.004
transcript.whisperx[697].text 所以在這個部分我要講的是3月27我們召開了一場有關貨車升降尾門的記者會我們呼籲對於升降尾門必須要有警示燈跟車尾燈兩者缺一不可而且車安中心也有召開會議預計什麼時候新車要開始安裝部長這個我們有規劃嗎
transcript.whisperx[698].start 18896.417
transcript.whisperx[698].end 18917.043
transcript.whisperx[698].text 有 跟委員報告就是說 上次委員的一個這個意見那我們請車站中心邀請車體公務會大家來這個開會那目前這個車站中心在整理這些相關如果說要這個規定的規範是如何我想車站中心送上來之後我們會再來所以我要講的是嘛 部長
transcript.whisperx[699].start 18917.903
transcript.whisperx[699].end 18932.501
transcript.whisperx[699].text 兩年前就發生一起傷亡了三個月前又一起傷亡人命不斷的流失結果我們呼籲了這麼久結果呢到現在你還是沒辦法給我一個允諾時間什麼時候可以開始安裝啊
transcript.whisperx[700].start 18933.223
transcript.whisperx[700].end 18961.792
transcript.whisperx[700].text 跟委員報告下那個測量硬體是一塊那但是這個我們公務總局這個就是說給這個貨車的駕駛人指引裡面就有要求這些駕駛人的升降尾門他操作完畢之後一定要下來而且都要放這些指引我都知道就是因為你的這份指引還是造成傷亡嘛沒有用啊優先還是要因為這個駕駛人我們在記者會上建議新車115年1月1日開始安裝有沒有困難
transcript.whisperx[701].start 18965.421
transcript.whisperx[701].end 18980.296
transcript.whisperx[701].text 有沒有困難做安裝115年1月1日安裝有沒有困難跟我們報告一下這個牽涉到就是說安裝那如果說只是去貼這個LED燈的話那個是這一個很快但是你整個要把它納到那個車輛設計裡面讓它做連動
transcript.whisperx[702].start 18983.058
transcript.whisperx[702].end 19009.226
transcript.whisperx[702].text 來啦不管是新車跟舊車我們都希望有一些精進部長車安中心這一本紀錄3月27的會議拖了超過一個月到5月7號才有會議紀錄車安中心5月27還要針對車輛刑事安全審驗的一個管理辦法召開一個會議請問這次為什麼升降尾門的警示燈跟車尾騎案子沒有列入會議討論怎麼又不討論了這件事情不重要嗎
transcript.whisperx[703].start 19010.066
transcript.whisperx[703].end 19028.591
transcript.whisperx[703].text 部長今天我提出這個問題就像你昨天開的記者會你面對問題願意解決問題可是你下面這些相關的一些主管機關並沒有去積極的面對嘛升降尾門就是其中一個我們今天把所有的案例關注在我們的這個三峽事件我們當然要重視
transcript.whisperx[704].start 19029.711
transcript.whisperx[704].end 19052.764
transcript.whisperx[704].text 這個很重要可是三個月前才發生傷亡的升降尾門到現階段都還沒有具體的精進方案甚至連會議都不列入討論然後告訴你們1月1號明年的1月1號可不可以開始全面新車安裝沒有一個確定的答案所以我們對於政府現階段不信任嘛有一個這樣子的一個部長願意面對但是下面的人不願意去處理最後還是結論沒有嘛
transcript.whisperx[705].start 19054.205
transcript.whisperx[705].end 19080.144
transcript.whisperx[705].text 所以今天部長你能不能承諾升降委門能不能積極面對你能不能開始要求我們部裡面自己我請這個公運監理師他們自己先來召開會議看如何精進這個部分我們部裡面先來做部長我今天舉出這個案例拜託你一定要稍微了解因為剛剛有稍微問你你也不太了解這樣的事故事故的多元性我當然能夠體諒但是這個事故我覺得這還有其必要性好嗎好 謝謝謝謝委員
transcript.whisperx[706].start 19089.71
transcript.whisperx[706].end 19103.997
transcript.whisperx[706].text 我們請徐欣林徐欣林徐欣林委員不在蘇清泉蘇清泉蘇清泉委員不在蔡宜蔡宜蔡宜委員不在樓明財樓明財樓明財委員不在鄭振淺鄭振淺鄭振淺委員不在林德甫林德甫林德甫委員不在
transcript.whisperx[707].start 19105.692
transcript.whisperx[707].end 19129.649
transcript.whisperx[707].text 現在登記執行委員均已發言完畢 做以下決定報告及詢討完畢委員李坤澤 林德福所提書面質詢列入記錄並刊登公報委員於質詢中要求提供相關書面資料或未及答覆部分請交通部 速發部 工程會及相關機關競速以書面答覆
transcript.whisperx[708].start 19132.623
transcript.whisperx[708].end 19139.356
transcript.whisperx[708].text 接下來處理討論事項一至三解凍案共二十二案請醫事人員宣讀
transcript.whisperx[709].start 19142.199
transcript.whisperx[709].end 19163.648
transcript.whisperx[709].text 考論事項一審查及處理一百一四年度中央政府總預算關於交通部主管預算凍結案計十四案交通部含一字九減送該部一決議三大陸地區旅費凍結二分之一案二決議四派員出國計劃凍結五分之一案三新增決議九十九業務費凍結百分之七十案
transcript.whisperx[710].start 19164.648
transcript.whisperx[710].end 19173.69
transcript.whisperx[710].text 四 新增決議101 媒體政策及業務宣導費 凍結20%案五 新增決議119 交通運輸規劃及產業發展 凍結28%案六 新增決議143 台鐵軌道結構安全提升計畫 凍結3000萬元案七 新增決議146 台鐵公司營業所需基礎設施重置計畫 凍結5000萬元案
transcript.whisperx[711].start 19192.054
transcript.whisperx[711].end 19211.14
transcript.whisperx[711].text 八 新增決議一百四十期國際機場園區股份有限公司凍結兩億元案九 新增決議一百七十空運管理業務凍結百分之三十案十 交通部函減送中央氣象署決議期氣象科技研究發展凍結十分之一案
transcript.whisperx[712].start 19212.42
transcript.whisperx[712].end 19214.962
transcript.whisperx[712].text 11.交通部函檢訊公安署及所屬新增決議180.觀光業務凍結30%案交通部函12.13.檢訊公路局及所屬12.決議1.媒體政策及業務宣導費
transcript.whisperx[713].start 19228.492
transcript.whisperx[713].end 19245.321
transcript.whisperx[713].text 凍結十分之一案 十三 新增決議兩百一十一 公路及監理業務管理 凍結二十億元案 十四 交通部 交通部函檢送鐵道局及所屬 新增決議兩百四十五 業務費凍結百分之三十案
transcript.whisperx[714].start 19246.261
transcript.whisperx[714].end 19271.081
transcript.whisperx[714].text 二、審查及處理一百一四年度中央政府總預算關於數位發展部主管預算凍結案計七案數位發展部含一至四簡訊該部一、決議四、獎補助費凍結十分之一案二、決議五、媒體政策及業務宣導費凍結十分之一案三、新增決議三百一十五數位創新關鍵基礎建設計劃凍結百分之五十案
transcript.whisperx[715].start 19271.841
transcript.whisperx[715].end 19272.662
transcript.whisperx[715].text 4.新政決議338 創新數位跨域協作電競智慧應用基礎 凍結50%案
transcript.whisperx[716].start 19283.07
transcript.whisperx[716].end 19300.442
transcript.whisperx[716].text 數位發展部函五至七減數數位產業署五決議三 獎補助費凍結一千萬元案六決議六 策進數位跨域應用與平台服務凍結十分之一案七 新增決議三百六十九 促進數位創新動能轉型升級凍結十億元案
transcript.whisperx[717].start 19305.465
transcript.whisperx[717].end 19317.312
transcript.whisperx[717].text 三 處理一百一四年度中央政府總預算關於行政院公務工程委員會預算凍結案 暨一案依簡順新增決議八十二業務費凍結百分之五十案 宣讀完畢以上個案請問各位委員有沒有意見
transcript.whisperx[718].start 19325.953
transcript.whisperx[718].end 19347.802
transcript.whisperx[718].text 沒有陳水深委員教委是不是一條一條處理不用啦還全部一次喔對啊因為大家都不好看吧大家都蠻有公式的好看啊沒有沒幾條唸一下很快嘛你唸快一點好不好一條一條嘛尊重一下
transcript.whisperx[719].start 19349.563
transcript.whisperx[719].end 19366.603
transcript.whisperx[719].text 你唸表頭就好了嘛,不要唸那麼細啊陳委員你就看你哪一條有特別的想法拿出來討論剛才都唸過了每一條都唸過了陳委員最支持我們的就一次啦
transcript.whisperx[720].start 19367.435
transcript.whisperx[720].end 19393.944
transcript.whisperx[720].text 好,那我就代表國民黨還有民眾黨好不好好,謝謝我代表我的喔,我不能代表執政黨的好不好好,謝謝,謝謝陳委員他就全部同意解凍好,謝謝那要送院會處理好要送院會處理齁對,這本來就要送院會處理我們做成決議齁,好不好本來就要有這個程序,本來就是送院會完成程序啊OK好不好,那你解釋了嗎好
transcript.whisperx[721].start 19396.055
transcript.whisperx[721].end 19416.625
transcript.whisperx[721].text 好感恩好好那做以下決議討論事項一之三個案均統一動之提報院會好那各位委員針對以上決議有沒有意見沒有沒有意見謝謝我們就通過以上決議現在休息明天早上上午九點繼續開會謝謝
transcript.whisperx[722].start 19423.699
transcript.whisperx[722].end 19424.72
transcript.whisperx[722].text 谢谢大家